Dr Laura Moss

  • Honorary Senior Lecturer (School of Medicine, Dentistry & Nursing)

email: Laura.Moss@glasgow.ac.uk

Level 2, New Lister Building, Glasgow Royal Infirmary, 10-16 Alexandra Parade, G31 2ER

Import to contacts

ORCID iDhttps://orcid.org/0000-0003-4968-0900

Publications

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Jump to: 2023 | 2022 | 2021 | 2020 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007
Number of items: 77.

2023

Tracey, J., Moss, L. and Ashmore, J. (2023) Application of synthetic data in the training of artificial intelligence for automated quality assurance in magnetic resonance imaging. Medical Physics, 50(9), pp. 5621-5629. (doi: 10.1002/mp.16361) (PMID:36908158)

Decraene, B. et al. (2023) Decompressive craniectomy as a second/third-tier intervention in traumatic brain injury: a multicenter observational study. Injury, (doi: 10.1016/j.injury.2023.110911) (PMID:37365094) (In Press)

2022

Moss, L. , Corsar, D., Shaw, M., Piper, I. and Hawthorne, C. (2022) Demystifying the black box: the importance of interpretability of predictive models in neurocritical care. Neurocritical Care, 37(2), pp. 185-191. (doi: 10.1007/s12028-022-01504-4) (PMID:35523917)

Hannigan, L. J. , Phillippo, D. M., Hanlon, P. , Moss, L. , Butterly, E. W., Hawkins, N. , Dias, S., Welton, N. J. and McAllister, D. A. (2022) Improving the estimation of subgroup effects for clinical trial participants with multimorbidity by incorporating drug class-level information in Bayesian hierarchical models: a simulation study. Medical Decision Making, 42(2), pp. 228-240. (doi: 10.1177/0272989X211029556) (PMID:34407672) (PMCID:PMC8777306)

2021

Moss, L. , Shaw, M., Piper, I., Kinsella, J. and Hawthorne, C. (2021) CHART-ADAPT: Enabling Actionable Analytics at the Critical Care Unit Bedside. In: 2021 34th International Symposium on Computer-Based Medical Systems (CBMS), 7-9 June 2021, ISBN 9781665441216 (doi: 10.1109/CBMS52027.2021.00032)

Young, J., Moss, L. , Shaw, M., Cahya, E., Kommer, M. and Hawthorne, C. (2021) Influence of patient demographics on optimal cerebral perfusion pressure following traumatic brain injury. In: Depreitere, B., Meyfroidt, G. and Güiza, F. (eds.) Intracranial Pressure and Neuromonitoring XVII. Series: Acta neurochirurgica supplement (131). Springer: Cham, pp. 153-158. ISBN 9783030594350 (doi: 10.1007/978-3-030-59436-7_31)

Kommer, M. et al. (2021) Telemetric intracranial pressure: a snapshot does not give the full story. In: Depreitere, B., Meyfroidt, G. and Güiza, F. (eds.) Intracranial Pressure and Neuromonitoring XVII. Series: Acta neurochirurgica supplement (131). Springer: Cham, pp. 323-324. ISBN 9783030594350 (doi: 10.1007/978-3-030-59436-7_61)

Kommer, M. et al. (2021) Use of direct intracranial pressure and brain tissue oxygen monitoring in perioperative management of patients with moyamoya disease. In: Depreitere, B., Meyfroidt, G. and Güiza, F. (eds.) Intracranial Pressure and Neuromonitoring XVII. Series: Acta neurochirurgica supplement (131). Springer: Cham, pp. 115-117. ISBN 9783030594350 (doi: 10.1007/978-3-030-59436-7_24)

Shaw, M., Hawthorne, C., Moss, L. , Kommer, M., O'Kane, R. and Piper, I. (2021) Time series analysis and prediction of intracranial pressure using time-varying dynamic linear models. In: Depreitere, B., Meyfroidt, G. and Güiza, F. (eds.) Intracranial Pressure and Neuromonitoring XVII. Series: Acta neurochirurgica supplement (131). Springer: Cham, pp. 225-229. ISBN 9783030594350 (doi: 10.1007/978-3-030-59436-7_43)

Stell, A., Moss, L. , Hawthorne, C., O'Kane, R., Kommer, M., Shaw, M. and Piper, I. (2021) Evaluation of software for automated measurement of adherence to ICP-monitoring threshold guideline. In: Depreitere, B., Meyfroidt, G. and Güiza, F. (eds.) Intracranial Pressure and Neuromonitoring XVII. Series: Acta neurochirurgica supplement (131). Springer: Cham, pp. 217-224. ISBN 9783030594350 (doi: 10.1007/978-3-030-59436-7_42)

2020

Moss, L. , Henderson, M., Puxty, A., Shaw, M., Leach, J.P., McPeake, J. and Quasim, T. (2020) Long‐term mortality of patients admitted to an intensive care unit with seizures: a population‐based study. Anaesthesia, 75(3), pp. 417-418. (doi: 10.1111/anae.14977) (PMID:32022911)

Sleeman, D., Kostadinov, K., Moss, L. and Sim, M. (2020) Resolving Differences of Opinion between Medical Experts: A Case Study with the IS-DELPHI System. In: 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), Valletta, Malta, 24-26 Feb 2020, pp. 66-76. ISBN 9789897583988 (doi: 10.5220/0008922000660076)

2018

Moss, L. , Hawthorne, C., Shaw, M., Piper, I., Aridhia, P.H. and Kinsella, J. (2018) Is There an Age Divide in Opinions About the Sharing of Critical Care Data With Private Companies? Society of Critical Care Medicine (SCCM) 47th Critical Care Congress, San Antonio, TX, USA, 25-28 Feb 2018.

Depreitere, B. et al. (2018) Cerebral perfusion pressure variability between patients and between centres. In: Heldt, T. (ed.) Intracranial Pressure and Neuromonitoring XVI. Series: Acta Neurochirurgica Supplement, 126. Springer: Cham, pp. 3-6. ISBN 978-3-319-65797-4 (doi: 10.1007/978-3-319-65798-1_1)

Flechet, M. et al. (2018) Visualizing cerebrovascular autoregulation insults and their association with outcome in adult and paediatric traumatic brain injury. In: Heldt, T. (ed.) Intracranial Pressure and Neuromonitoring XVI. Series: Acta Neurochirurgica Supplement, 126. Springer: Cham, pp. 291-295. ISBN 978-3-319-65797-4 (doi: 10.1007/978-3-319-65798-1_57)

Hawthorne, C., Shaw, M., Piper, I., Moss, L. and Kinsella, J. (2018) Transcranial bioimpedance measurement as a non-invasive estimate of intracranial pressure. In: Heldt, T. (ed.) Intracranial Pressure & Neuromonitoring XVI. Series: Acta neurochirurgica supplement (126). Springer, pp. 89-92. ISBN 9783319657974 (doi: 10.1007/978-3-319-65798-1_19)

Piper, I., Shaw, M., Hawthorne, C., Kinsella, J. and Moss, L. (2018) Medical waveform format encoding rules representation of neurointensive care waveform data. In: Heldt, T. (ed.) Intracranial Pressure and Neuromonitoring XVI. Series: Acta neurochirurgica supplement (126). Springer: Cham, pp. 183-188. ISBN 9783319657974 (doi: 10.1007/978-3-319-65798-1_38)

Shaw, M., Moss, L. , Hawthorne, C., Kinsella, J. and Piper, I. (2018) Investigation of the relationship between the burden of raised ICP and the length of stay in a neuro-intensive care unit. In: Heldt, T. (ed.) Intracranial Pressure & Neuromonitoring XVI. Series: Acta neurochirurgica supplement (126). Springer, pp. 205-208. ISBN 9783319657974 (doi: 10.1007/978-3-319-65798-1_42)

Stell, A., Piper, I. and Moss, L. (2018) Automated Measurement of Adherence to Traumatic Brain Injury (TBI) Guidelines using Neurological ICU Data. In: 11th International Joint Conference on Biomedical Engineering Systems and Technologies, Funchal, Madeira, Portugal, 19-21 Jan 2018, pp. 135-146. ISBN 9789897582813 (doi: 10.5220/0006583801350146)

2017

Giza, F. et al. (2017) Cerebral perfusion pressure insults and associations with outcome in adult traumatic brain injury. Journal of Neurotrauma, 34(16), pp. 2425-2431. (doi: 10.1089/neu.2016.4807) (PMID:28385097)

Kinsella, J., Hawthorne, C., Shaw, M., Piper, I., Aridhia, P.H. and Moss, L. (2017) Public Perception of the Collection and Use of Critical Care Patient Data Beyond Treatment: a Pilot Study. Society of Critical Care Medicine (SCCM) 46th Critical Care Congress, Honolulu, HI, USA, 21-25 Jan 2017.

Moss, L. (2017) Investigation of an Improved Optimal Cerebral Perfusion Pressure Calculation Methodology. Society of Critical Care Medicine (SCCM) 46th Critical Care Congress, Honolulu, HI, USA, 21-25 Jan 2017.

Papapanagiotou, P., Dewanti, A., Manataki, A., Fleuriot, J., Gilhooly, C. and Moss, L. (2017) Workflow Modelling of Burns Care Protocols. Scottish Intensive Care Society Annual Scientific Meeting 2017, St Andrews, UK, 26-27 Jan 2017.

Moss, L. , Shaw, M., Piper, I., Hawthorne, C. and Kinsella, J. (2017) Sharing of Big Data in Healthcare: Public Opinion, Trust, and Privacy Considerations for Health Informatics Researchers. In: 10th International Conference on Health Informatics, Porto, Portugal, 21-23 Feb 2017, pp. 463-468. ISBN 9789897582134

Moss, L. , Shaw, M., Piper, I., Hawthorne, C. and Kinsella, J. (2017) Sharing of Big Data in Healthcare: Public Opinion, Trust, and Privacy Considerations for Health Informatics Researchers. In: 10th International Joint Conference on Biomedical Engineering Systems and Technologies, Porto, Portugal, 21-23 Feb 2017, pp. 463-468. ISBN 9789897582134 (doi: 10.5220/0006251504630468)

2016

Hawthorne, C., Shaw, M., Moss, L. , Piper, I., Elliott, R., Lee, C. and Kinsella, J. (2016) Improvements to the optimal cerebral perfusion pressure calculation. Critical Care Medicine, 44(12 S1), p. 266. (doi: 10.1097/01.ccm.0000509437.27596.e9)

Kinsella, J., Hawthorne, C., Shaw, M., Piper, I., Elliott, R., Lee, C. and Moss, L. (2016) Public perception of the collection and use of critical care patient data beyond treatment: a pilot study. Critical Care Medicine, 44(12 S1), p. 470. (doi: 10.1097/01.ccm.0000510251.02647.1f)

Moss, L. , Shaw, M., Piper, I., Hawthorne, C. and Kinsella, J. (2016) Apache Spark for the Analysis of High Frequency Neurointensive Care Unit Data: Preliminary Comparison of Scala vs. R. AMIA Annual Symposium 2016, Chicago, IL, USA, 12-16 Nov 2016.

2015

Sim, M., Moss, L. , Sleeman, D. and Kinsella, J. (2015) knowledge capture techniques to design a score of overall physiological state in critical illness. Critical Care Medicine, 43(12(1)), p. 37. (doi: 10.1097/01.ccm.0000473972.12234.b0)

Güiza, F. et al. (2015) Visualizing the pressure and time burden of intracranial hypertension in adult and paediatric traumatic brain injury. Intensive Care Medicine, 41(6), pp. 1067-1076. (doi: 10.1007/s00134-015-3806-1) (PMID:25894624)

2014

Moss, L. , Corsar, D., Hawthorne, C., Piper, I., Shaw, M. and Kinsella, J. (2014) Data quality in neurointensive care datasets. 44th Critical Care Congress, Society of Critical Care Medicine, Phoenix, AZ, USA, 17-21 Jan 2015. (doi: 10.1097/01.ccm.0000458064.02118.7b)

Sleeman, D., Moss, L. and Kinsella, J. (2014) Temporal Discovery Workbench: A Case Study with ICU Patient Datasets. In: BCS Health Informatics Scotland (HIS) Conference, Glasgow, UK, 02-03 Sep 2014,

2013

Tober, K., Moss, L. , Runice, A., Willox, L., Talwar, D., Kinsella, J. and Quasim, T. (2013) Asymmetric dimethylarginine, homoarginine levels and atrial fibrillation in oesophagectomy patients. Critical Care Medicine, 41(S1 12), A6-A6. (doi: 10.1097/01.ccm.0000439205.15329.a6)

Grando, M.A., Moss, L. , Sleeman, D. and Kinsella, J. (2013) Argumentation-logic for creating and explaining medical hypotheses. Artificial Intelligence in Medicine, 58(1), pp. 1-13. (doi: 10.1016/j.artmed.2013.02.003)

Kearns, R.J., Moss, L. and Kinsella, J. (2013) A comparison of clinical practice guidelines for proximal femoral fracture. Anaesthesia, 68(2), pp. 159-166. (doi: 10.1111/anae.12076)

Grando, A., Moss, L. , Bel-Enguix, G., Jiménez-López, M. D. and Kinsella, J. (2013) Argumentation-based dialogue systems for medical training. In: Neustein, A. and Markowitz, J. A. (eds.) Where Humans Meet Machines: Innovative Solutions for Knotty Natural-Language Problems. Springer: New York, pp. 213-232. ISBN 9781461469339 (doi: 10.1007/978-1-4614-6934-6_10)

Moss, L. , Corsar, D., Piper, I. and Kinsella, J. (2013) Trusting intensive care unit (ICU) medical data: a semantic web approach. Lecture Notes in Computer Science, 7885, pp. 68-72. (doi: 10.1007/978-3-642-38326-7_10)

Moss, L. , Corsar, I., Piper, I. and Hawthorne, C. (2013) An Approach for Establishing the Quality of Traumatic Brain Injury Data. In: 15th International Symposium on Intracranial Pressure and Brain Monitoring (ICP 2013), Singapore, Nov 2013,

2012

Moss, L. , Piper, I. and Shaw, M. (2012) Ontologies, Provenance, and Speckled Computing – Research Update. Brain IT 2012, Leuven, Belgium, Dec 2012.

Sleeman, D., Moss, L. , Aiken, A., Hughes, M., Kinsella, J. and Sim, M. (2012) Detecting and resolving inconsistencies between domain experts’ different perspectives on (classification) tasks. Artificial Intelligence in Medicine, 55(2), pp. 71-86. (doi: 10.1016/j.artmed.2012.03.001)

Docking, R., Moss, L. , Sim, M., Sleeman, D. and Kinsella, J. (2012) An investigation into the effects of commencing haemodialysis in the critically ill. Critical Care, 16(Suppl1), P359. (doi: 10.1186/cc10966)

McLeod, C., Kearns, R., Moss, L. and Kinsella, J. (2012) SIGN Guideline 122 – Adherence in an Intensive Care Unit. Scottish Intensive Care Society Annual Scientific Meeting, St Andrews, UK, 19-20 Jan 2012.

Moss, L. , Sleeman, D. and Kinsella, J. (2012) Clinicians’ Perspective on the Connection Between Myocardial Damage, Troponin, and Cardiovascular Abnormality. Scottish Intensive Care Society Annual Scientific Meeting, St Andrews, UK, 19-20 Jan 2012.

Docking, R., Moss, L. , Sim, M., Sleeman, D. and Kinsella, J. (2012) Investigation in haemodynamic stability during intermittent haemodialysis in the critically ill. Critical Care, 16(Sup. 1), p. 371. (doi: 10.1186/cc10978) (PMCID:PMC3363789)

Moss, L. , Corsar, D. and Piper, I. (2012) A Linked Data Approach to Assessing Medical Data. In: 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Rome, Italy, 20-22 Jun 2012, ISBN 9781467320511 (doi: 10.1109/CBMS.2012.6266391)

Moss, L. , Sleeman, D. and Kinsella, J. (2012) Differences in the identification of anomalies from computerized physiological data. K-MED 2012 - International Workshop on Capturing and Refining Knowledge in the Medical Domain, Galway City, Ireland, 08-12 Oct 2012. pp. 11-21.

Moss, L. , Sleeman, D., Sim, M. and Kinsella, J. (2012) Using cardiovascular derangements to predict raised troponin levels. K-MED 2012 - International Workshop on Capturing and Refining Knowledge in the Medical Domain, Galway City, Ireland, 08-12 Oct 2012. pp. 46-55.

Sleeman, D., Rogers, S. , Moss, L. , Aitken, A. and Kinsella, J. (2012) INSIGHT: Helping domain experts make their knowledge more consistent. K-MED 2012 - International Workshop on Capturing and Refining Knowledge in the Medical Domain, Galway City, Ireland, 08-12 Oct 2012. pp. 22-35.

Stell, A., Moss, L. and Piper, I. (2012) Knowledge-driven Inference of Medical Interventions. In: 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Rome, Italy, 20-22 Jun 2012, ISBN 9781467320511 (doi: 10.1109/CBMS.2012.6266389)

2011

Quasim, T. , Lange, C., Henderson, K., Moss, L. and Kinsella, J. (2011) The effect of heart rate on survival from ICU. Critical Care Medicine, 39(S12), p. 148. (doi: 10.1097/01.ccm.0000408627.24229.88)

Sim, M., Moss, L. , Docking, R., Henderson, K., McCallum, J., Sleeman, D. and Kinsella, J. (2011) 596: A novel system for detecting myocardial damage in the critically ill patient. Critical Care Medicine, 39(S12), p. 164. (doi: 10.1097/01.ccm.0000408627.24229.88)

Achenyo Ogbobi, B., Kearns, R., Moss, L. , Wright, F. and Kinsella, J. (2011) Dysphagia Following a Stroke: Can Every Patient be Given a Swallow Test on the Day of Admission? 53rd Annual General Meeting of the Scottish Society of Physicians, Dumfries, UK, 30 Sep - 01 Oct 2011.

Moss, L. , Sleeman, D., Quasim, T. , Sim, M., Booth, M., Puxty, A. and Kinsella, J. (2011) Identifying Myocardial Damage from Routinely Recorded Data in the Intensive Care Unit (ICU). Intensive Care Medicine, 37(S1), S213. (doi: 10.1007/s00134-011-2322-1)

Moss, L. , Sleeman, D., Quasim, T. , Sim, M., Booth, M., Puxty, A. and Kinsella, J. (2011) Identifying myocardial damage from routinely recorded data in the intensive care unit (ICU). Intensive Care Medicine, 37(S1), S213-S213.

Sleeman, D., Moss, L. , Sim, M. and Kinsella, J. (2011) Predicting Adverse Events: Detecting Myocardial Damage in Intensive Care Unit (ICU) Patients. In: K-CAP 2011: The Sixth International Conference on Knowledge Capture, Banff, Alberta, Canada, 25-29 Jun 2011, pp. 73-80. ISBN 9781450303965 (doi: 10.1145/1999676.1999690)

Moss, L. , Piper, I. and Shaw, M. (2011) Precise Pressure (PP) – Infrared Based Head Tracking in the Automatic Correction of Cerebral Perfusion Pressure Measurement. BrainIT 2011, Uppsala, Sweden, May 2011.

Moss, L. , Grando, M.A., Sleeman, D., Sim, M., Gilhooly, C. and Kinsella, J. (2011) Formalizing and Understanding Collaborative Decision Making in the Intensive Care Unit (ICU). Scottish Intensive Care Society Annual Meeting, St Andrews, UK, Jan 2011.

Grando, M. A., Moss, L. , Glasspool, D., Sleeman, D., Sim, M., Gilhooly, C. and Kinsella, J. (2011) Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments. In: 13th Conference on Artificial Intelligence in Medicine (AIME 2011), Bled, Slovenia, 2-3 Jul 2011, pp. 35-44. ISBN 9783642222177 (doi: 10.1007/978-3-642-22218-4_5)

2010

Sleeman, D., Moss, L. , Gyftodimos, E., Nicolson, M. and Devereux, G. (2010) A comparison between clinical decisions made about lung cancer patients and those inherent in the corresponding Scottish Intercollegiate Guidelines Network (SIGN) guideline. Health Informatics Journal, 16(4), pp. 260-273. (doi: 10.1177/1460458210380520) (PMID:21216806)

Moss, L. , Sleeman, D., Booth, M., Donaldson, L., Gilhooly, C., Hughes, M. and Kinsella, J. (2010) Development of EIRA, a Knowledge-based System to Explain Anomalous Patient Responses to Treatment. BCS Health Scotland Conference, Glasgow, UK, 22-23 Sep 2010.

Moss, L. , Sleeman, D., Sim, M., Booth, M., Daniel, M., Donaldson, L., Gilhooly, C., Hughes, M. and Kinsella, J. (2010) Ontology-driven hypothesis generation to explain anomalous patient responses to treatment. Knowledge-Based Systems, 23(4), pp. 309-315. (doi: 10.1016/j.knosys.2009.11.009)

Moss, L. , Sleeman, D., Sim, M., Booth, M., Donaldson, L., Gilhooly, L., Hughes, M. and Kinsella, J. (2010) Transforming Clinical Anomalies into Clinical Insights: Developing a Knowledge-based System Which Explains a Patient’s Unexpected Reaction to Treatment. Scottish Intensive Care Society Annual Meeting, St Andrews, UK, 21-22 Jan 2010.

Sim, M., Moss, L. , Aitken, A., Kinsella, J. and Sleeman, D. (2010) Intermittent Haemodialysis May be Associated With Increased Haemodynamic Stability. Scottish Intensive Care Society Annual Meeting, St Andrews, UK, 21-22 Jan 2010.

Moss, L. , Sleeman, D. and Sim, M. (2010) Reasoning by analogy in the generation of domain acceptable ontology refinements. Lecture Notes in Computer Science, 6317, pp. 534-543. (doi: 10.1007/978-3-642-16438-5_43)

Moss, L. , Sleeman, D., Sim, M., Booth, M., Daniel, M., Donaldson, L., Gilhooly, C. , Hughes, M. and Kinsella, J. (2010) Ontology-Driven Hypothesis Generation to Explain Anomalous Patient Responses to Treatment. In: 29th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2009), Cambridge, UK, 15-17 Dec 2009, pp. 63-76. ISBN 9781848829824 (doi: 10.1007/978-1-84882-983-1_5)

Sleeman, D., Aiken, A., Moss, L. , Kinsella, J. and Sim, M. (2010) A system to detect inconsistencies between a domain expert’s different perspectives on (classification) tasks. Studies in Computational Intelligence, 263, pp. 293-314. (doi: 10.1007/978-3-642-05179-1_14)

2009

Sim, M.A.B., Aiken, A., Moss, L. , Sleeman, D. and Kinsella, J. (2009) Confusion matrices to refine a novel scoring system for cardiovascular instability in intensive care. Scottish Medical Journal, 54(2), p. 56. (doi: 10.1258/rsmsmj.54.2.53)

Sim, M.A.B., Aiken, A., Moss, L. , Sleeman, D. and Kinsella, J. (2009) Confusion matrices to refine a novel scoring system for cardiovascular instability in intensive care. Scottish Medical Journal, 54(2), p. 56.

Corsar, D., Moss, L. , Sleeman, D. and Sim, M. (2009) Supporting the Development of Medical Ontologies. In: Formal Ontologies Meet Industry (FOMI 2009), Vicenza, Italy, 2 Sep 2009, pp. 114-125. ISBN 9781607500476

Corsar, D., Moss, L. , Sleeman, D. and Sim, M. (2009) Supporting the development of medical ontologies. In: Ferrario, R. and Oltramari, A. (eds.) Formal Ontologies Meet Industry. Series: Frontiers in artificial intelligence and applications (198). IOS Press: Washington, DC, pp. 114-125. ISBN 9781607500476 (doi: 10.3233/978-1-60750-047-6-114)

Moss, L. , Sleeman, D., Booth, M., Daniel, M., Donaldson, L., Gilhooly, C., Hughes, M., Sim, M. and Kinsella, J. (2009) Explaining anomalous responses to treatment in the Intensive Care Unit. Lecture Notes in Computer Science, 5651, pp. 250-254. (doi: 10.1007/978-3-642-02976-9_36)

2008

Moss, L. , Sleeman, D., Kinsella, J. and Sim, M. (2008) ACHE: an Architecture for Clinical Hypothesis Examination. In: 21st IEEE International Symposium on Computer-Based Medical Systems, Jyvaskyla, Finland, June 17-19, 2008,

Gyftodimos, E., Moss, L. , Sleeman, D. and Welch, A. (2008) Analysing PET scans data for predicting response to chemotherapy in breast cancer patients. In: Ellis, R., Allen, T. and Petridis, M. (eds.) Applications and Innovations in Intelligent Systems XV: Proceedings of AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. Springer: London, pp. 59-72. ISBN 9781848000858 (doi: 10.1007/978-1-84800-086-5_5)

Moss, L. , Sleeman, D., Kinsella, J. and Sim, M. (2008) ACHE: An Architecture for Clinical Hypothesis Examination. In: 2008 21st IEEE International Symposium on Computer-Based Medical Systems, Jyvaskyla, Finland, 17-19 Jun 2008, pp. 158-160. ISBN 9780769531656 (doi: 10.1109/CBMS.2008.100)

2007

Sim, M., Moss, L. , Kinsella, J. and Sleeman, D. (2007) Assessing Cardiovascular Status in the ICU. ICU Advances in Anaesthesia & Intensive Care Symposium, Glasgow, UK, Sep 2007.

Gyftodimos, E., Moss, L. , Sleeman, D. and Welch, A. (2007) Predicting Response to Chemotherapy in Breast Cancer Patients Using Machine Learning Techniques. In: Current Perspectives in Healthcare Computing 2007 (HC2007), Harrogate, UK, 19-21 Mar 2007,

Sleeman, D., Fluck, N., Gyftodimos, E., Moss, L. and Christie, G. (2007) An intelligent aide for interpreting a patient's dialysis data set. In: Bellazzi, R., Abu-Hanna, A. and Hunter, J. (eds.) Artificial Intelligence in Medicine: 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007. Proceedings. Series: Lecture notes in computer science (4594). Springer: Berlin, Heidelberg, pp. 57-66. ISBN 9783540735984 (doi: 10.1007/978-3-540-73599-1_7)

This list was generated on Mon Apr 15 13:56:46 2024 BST.
Number of items: 77.

Articles

Tracey, J., Moss, L. and Ashmore, J. (2023) Application of synthetic data in the training of artificial intelligence for automated quality assurance in magnetic resonance imaging. Medical Physics, 50(9), pp. 5621-5629. (doi: 10.1002/mp.16361) (PMID:36908158)

Decraene, B. et al. (2023) Decompressive craniectomy as a second/third-tier intervention in traumatic brain injury: a multicenter observational study. Injury, (doi: 10.1016/j.injury.2023.110911) (PMID:37365094) (In Press)

Moss, L. , Corsar, D., Shaw, M., Piper, I. and Hawthorne, C. (2022) Demystifying the black box: the importance of interpretability of predictive models in neurocritical care. Neurocritical Care, 37(2), pp. 185-191. (doi: 10.1007/s12028-022-01504-4) (PMID:35523917)

Hannigan, L. J. , Phillippo, D. M., Hanlon, P. , Moss, L. , Butterly, E. W., Hawkins, N. , Dias, S., Welton, N. J. and McAllister, D. A. (2022) Improving the estimation of subgroup effects for clinical trial participants with multimorbidity by incorporating drug class-level information in Bayesian hierarchical models: a simulation study. Medical Decision Making, 42(2), pp. 228-240. (doi: 10.1177/0272989X211029556) (PMID:34407672) (PMCID:PMC8777306)

Moss, L. , Henderson, M., Puxty, A., Shaw, M., Leach, J.P., McPeake, J. and Quasim, T. (2020) Long‐term mortality of patients admitted to an intensive care unit with seizures: a population‐based study. Anaesthesia, 75(3), pp. 417-418. (doi: 10.1111/anae.14977) (PMID:32022911)

Giza, F. et al. (2017) Cerebral perfusion pressure insults and associations with outcome in adult traumatic brain injury. Journal of Neurotrauma, 34(16), pp. 2425-2431. (doi: 10.1089/neu.2016.4807) (PMID:28385097)

Hawthorne, C., Shaw, M., Moss, L. , Piper, I., Elliott, R., Lee, C. and Kinsella, J. (2016) Improvements to the optimal cerebral perfusion pressure calculation. Critical Care Medicine, 44(12 S1), p. 266. (doi: 10.1097/01.ccm.0000509437.27596.e9)

Kinsella, J., Hawthorne, C., Shaw, M., Piper, I., Elliott, R., Lee, C. and Moss, L. (2016) Public perception of the collection and use of critical care patient data beyond treatment: a pilot study. Critical Care Medicine, 44(12 S1), p. 470. (doi: 10.1097/01.ccm.0000510251.02647.1f)

Sim, M., Moss, L. , Sleeman, D. and Kinsella, J. (2015) knowledge capture techniques to design a score of overall physiological state in critical illness. Critical Care Medicine, 43(12(1)), p. 37. (doi: 10.1097/01.ccm.0000473972.12234.b0)

Güiza, F. et al. (2015) Visualizing the pressure and time burden of intracranial hypertension in adult and paediatric traumatic brain injury. Intensive Care Medicine, 41(6), pp. 1067-1076. (doi: 10.1007/s00134-015-3806-1) (PMID:25894624)

Tober, K., Moss, L. , Runice, A., Willox, L., Talwar, D., Kinsella, J. and Quasim, T. (2013) Asymmetric dimethylarginine, homoarginine levels and atrial fibrillation in oesophagectomy patients. Critical Care Medicine, 41(S1 12), A6-A6. (doi: 10.1097/01.ccm.0000439205.15329.a6)

Grando, M.A., Moss, L. , Sleeman, D. and Kinsella, J. (2013) Argumentation-logic for creating and explaining medical hypotheses. Artificial Intelligence in Medicine, 58(1), pp. 1-13. (doi: 10.1016/j.artmed.2013.02.003)

Kearns, R.J., Moss, L. and Kinsella, J. (2013) A comparison of clinical practice guidelines for proximal femoral fracture. Anaesthesia, 68(2), pp. 159-166. (doi: 10.1111/anae.12076)

Moss, L. , Corsar, D., Piper, I. and Kinsella, J. (2013) Trusting intensive care unit (ICU) medical data: a semantic web approach. Lecture Notes in Computer Science, 7885, pp. 68-72. (doi: 10.1007/978-3-642-38326-7_10)

Sleeman, D., Moss, L. , Aiken, A., Hughes, M., Kinsella, J. and Sim, M. (2012) Detecting and resolving inconsistencies between domain experts’ different perspectives on (classification) tasks. Artificial Intelligence in Medicine, 55(2), pp. 71-86. (doi: 10.1016/j.artmed.2012.03.001)

Docking, R., Moss, L. , Sim, M., Sleeman, D. and Kinsella, J. (2012) An investigation into the effects of commencing haemodialysis in the critically ill. Critical Care, 16(Suppl1), P359. (doi: 10.1186/cc10966)

Docking, R., Moss, L. , Sim, M., Sleeman, D. and Kinsella, J. (2012) Investigation in haemodynamic stability during intermittent haemodialysis in the critically ill. Critical Care, 16(Sup. 1), p. 371. (doi: 10.1186/cc10978) (PMCID:PMC3363789)

Quasim, T. , Lange, C., Henderson, K., Moss, L. and Kinsella, J. (2011) The effect of heart rate on survival from ICU. Critical Care Medicine, 39(S12), p. 148. (doi: 10.1097/01.ccm.0000408627.24229.88)

Sim, M., Moss, L. , Docking, R., Henderson, K., McCallum, J., Sleeman, D. and Kinsella, J. (2011) 596: A novel system for detecting myocardial damage in the critically ill patient. Critical Care Medicine, 39(S12), p. 164. (doi: 10.1097/01.ccm.0000408627.24229.88)

Moss, L. , Sleeman, D., Quasim, T. , Sim, M., Booth, M., Puxty, A. and Kinsella, J. (2011) Identifying Myocardial Damage from Routinely Recorded Data in the Intensive Care Unit (ICU). Intensive Care Medicine, 37(S1), S213. (doi: 10.1007/s00134-011-2322-1)

Moss, L. , Sleeman, D., Quasim, T. , Sim, M., Booth, M., Puxty, A. and Kinsella, J. (2011) Identifying myocardial damage from routinely recorded data in the intensive care unit (ICU). Intensive Care Medicine, 37(S1), S213-S213.

Sleeman, D., Moss, L. , Gyftodimos, E., Nicolson, M. and Devereux, G. (2010) A comparison between clinical decisions made about lung cancer patients and those inherent in the corresponding Scottish Intercollegiate Guidelines Network (SIGN) guideline. Health Informatics Journal, 16(4), pp. 260-273. (doi: 10.1177/1460458210380520) (PMID:21216806)

Moss, L. , Sleeman, D., Sim, M., Booth, M., Daniel, M., Donaldson, L., Gilhooly, C., Hughes, M. and Kinsella, J. (2010) Ontology-driven hypothesis generation to explain anomalous patient responses to treatment. Knowledge-Based Systems, 23(4), pp. 309-315. (doi: 10.1016/j.knosys.2009.11.009)

Moss, L. , Sleeman, D. and Sim, M. (2010) Reasoning by analogy in the generation of domain acceptable ontology refinements. Lecture Notes in Computer Science, 6317, pp. 534-543. (doi: 10.1007/978-3-642-16438-5_43)

Sleeman, D., Aiken, A., Moss, L. , Kinsella, J. and Sim, M. (2010) A system to detect inconsistencies between a domain expert’s different perspectives on (classification) tasks. Studies in Computational Intelligence, 263, pp. 293-314. (doi: 10.1007/978-3-642-05179-1_14)

Sim, M.A.B., Aiken, A., Moss, L. , Sleeman, D. and Kinsella, J. (2009) Confusion matrices to refine a novel scoring system for cardiovascular instability in intensive care. Scottish Medical Journal, 54(2), p. 56. (doi: 10.1258/rsmsmj.54.2.53)

Sim, M.A.B., Aiken, A., Moss, L. , Sleeman, D. and Kinsella, J. (2009) Confusion matrices to refine a novel scoring system for cardiovascular instability in intensive care. Scottish Medical Journal, 54(2), p. 56.

Moss, L. , Sleeman, D., Booth, M., Daniel, M., Donaldson, L., Gilhooly, C., Hughes, M., Sim, M. and Kinsella, J. (2009) Explaining anomalous responses to treatment in the Intensive Care Unit. Lecture Notes in Computer Science, 5651, pp. 250-254. (doi: 10.1007/978-3-642-02976-9_36)

Book Sections

Young, J., Moss, L. , Shaw, M., Cahya, E., Kommer, M. and Hawthorne, C. (2021) Influence of patient demographics on optimal cerebral perfusion pressure following traumatic brain injury. In: Depreitere, B., Meyfroidt, G. and Güiza, F. (eds.) Intracranial Pressure and Neuromonitoring XVII. Series: Acta neurochirurgica supplement (131). Springer: Cham, pp. 153-158. ISBN 9783030594350 (doi: 10.1007/978-3-030-59436-7_31)

Kommer, M. et al. (2021) Telemetric intracranial pressure: a snapshot does not give the full story. In: Depreitere, B., Meyfroidt, G. and Güiza, F. (eds.) Intracranial Pressure and Neuromonitoring XVII. Series: Acta neurochirurgica supplement (131). Springer: Cham, pp. 323-324. ISBN 9783030594350 (doi: 10.1007/978-3-030-59436-7_61)

Kommer, M. et al. (2021) Use of direct intracranial pressure and brain tissue oxygen monitoring in perioperative management of patients with moyamoya disease. In: Depreitere, B., Meyfroidt, G. and Güiza, F. (eds.) Intracranial Pressure and Neuromonitoring XVII. Series: Acta neurochirurgica supplement (131). Springer: Cham, pp. 115-117. ISBN 9783030594350 (doi: 10.1007/978-3-030-59436-7_24)

Shaw, M., Hawthorne, C., Moss, L. , Kommer, M., O'Kane, R. and Piper, I. (2021) Time series analysis and prediction of intracranial pressure using time-varying dynamic linear models. In: Depreitere, B., Meyfroidt, G. and Güiza, F. (eds.) Intracranial Pressure and Neuromonitoring XVII. Series: Acta neurochirurgica supplement (131). Springer: Cham, pp. 225-229. ISBN 9783030594350 (doi: 10.1007/978-3-030-59436-7_43)

Stell, A., Moss, L. , Hawthorne, C., O'Kane, R., Kommer, M., Shaw, M. and Piper, I. (2021) Evaluation of software for automated measurement of adherence to ICP-monitoring threshold guideline. In: Depreitere, B., Meyfroidt, G. and Güiza, F. (eds.) Intracranial Pressure and Neuromonitoring XVII. Series: Acta neurochirurgica supplement (131). Springer: Cham, pp. 217-224. ISBN 9783030594350 (doi: 10.1007/978-3-030-59436-7_42)

Depreitere, B. et al. (2018) Cerebral perfusion pressure variability between patients and between centres. In: Heldt, T. (ed.) Intracranial Pressure and Neuromonitoring XVI. Series: Acta Neurochirurgica Supplement, 126. Springer: Cham, pp. 3-6. ISBN 978-3-319-65797-4 (doi: 10.1007/978-3-319-65798-1_1)

Flechet, M. et al. (2018) Visualizing cerebrovascular autoregulation insults and their association with outcome in adult and paediatric traumatic brain injury. In: Heldt, T. (ed.) Intracranial Pressure and Neuromonitoring XVI. Series: Acta Neurochirurgica Supplement, 126. Springer: Cham, pp. 291-295. ISBN 978-3-319-65797-4 (doi: 10.1007/978-3-319-65798-1_57)

Hawthorne, C., Shaw, M., Piper, I., Moss, L. and Kinsella, J. (2018) Transcranial bioimpedance measurement as a non-invasive estimate of intracranial pressure. In: Heldt, T. (ed.) Intracranial Pressure & Neuromonitoring XVI. Series: Acta neurochirurgica supplement (126). Springer, pp. 89-92. ISBN 9783319657974 (doi: 10.1007/978-3-319-65798-1_19)

Piper, I., Shaw, M., Hawthorne, C., Kinsella, J. and Moss, L. (2018) Medical waveform format encoding rules representation of neurointensive care waveform data. In: Heldt, T. (ed.) Intracranial Pressure and Neuromonitoring XVI. Series: Acta neurochirurgica supplement (126). Springer: Cham, pp. 183-188. ISBN 9783319657974 (doi: 10.1007/978-3-319-65798-1_38)

Shaw, M., Moss, L. , Hawthorne, C., Kinsella, J. and Piper, I. (2018) Investigation of the relationship between the burden of raised ICP and the length of stay in a neuro-intensive care unit. In: Heldt, T. (ed.) Intracranial Pressure & Neuromonitoring XVI. Series: Acta neurochirurgica supplement (126). Springer, pp. 205-208. ISBN 9783319657974 (doi: 10.1007/978-3-319-65798-1_42)

Grando, A., Moss, L. , Bel-Enguix, G., Jiménez-López, M. D. and Kinsella, J. (2013) Argumentation-based dialogue systems for medical training. In: Neustein, A. and Markowitz, J. A. (eds.) Where Humans Meet Machines: Innovative Solutions for Knotty Natural-Language Problems. Springer: New York, pp. 213-232. ISBN 9781461469339 (doi: 10.1007/978-1-4614-6934-6_10)

Corsar, D., Moss, L. , Sleeman, D. and Sim, M. (2009) Supporting the development of medical ontologies. In: Ferrario, R. and Oltramari, A. (eds.) Formal Ontologies Meet Industry. Series: Frontiers in artificial intelligence and applications (198). IOS Press: Washington, DC, pp. 114-125. ISBN 9781607500476 (doi: 10.3233/978-1-60750-047-6-114)

Gyftodimos, E., Moss, L. , Sleeman, D. and Welch, A. (2008) Analysing PET scans data for predicting response to chemotherapy in breast cancer patients. In: Ellis, R., Allen, T. and Petridis, M. (eds.) Applications and Innovations in Intelligent Systems XV: Proceedings of AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. Springer: London, pp. 59-72. ISBN 9781848000858 (doi: 10.1007/978-1-84800-086-5_5)

Sleeman, D., Fluck, N., Gyftodimos, E., Moss, L. and Christie, G. (2007) An intelligent aide for interpreting a patient's dialysis data set. In: Bellazzi, R., Abu-Hanna, A. and Hunter, J. (eds.) Artificial Intelligence in Medicine: 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007. Proceedings. Series: Lecture notes in computer science (4594). Springer: Berlin, Heidelberg, pp. 57-66. ISBN 9783540735984 (doi: 10.1007/978-3-540-73599-1_7)

Conference or Workshop Item

Moss, L. , Hawthorne, C., Shaw, M., Piper, I., Aridhia, P.H. and Kinsella, J. (2018) Is There an Age Divide in Opinions About the Sharing of Critical Care Data With Private Companies? Society of Critical Care Medicine (SCCM) 47th Critical Care Congress, San Antonio, TX, USA, 25-28 Feb 2018.

Kinsella, J., Hawthorne, C., Shaw, M., Piper, I., Aridhia, P.H. and Moss, L. (2017) Public Perception of the Collection and Use of Critical Care Patient Data Beyond Treatment: a Pilot Study. Society of Critical Care Medicine (SCCM) 46th Critical Care Congress, Honolulu, HI, USA, 21-25 Jan 2017.

Moss, L. (2017) Investigation of an Improved Optimal Cerebral Perfusion Pressure Calculation Methodology. Society of Critical Care Medicine (SCCM) 46th Critical Care Congress, Honolulu, HI, USA, 21-25 Jan 2017.

Papapanagiotou, P., Dewanti, A., Manataki, A., Fleuriot, J., Gilhooly, C. and Moss, L. (2017) Workflow Modelling of Burns Care Protocols. Scottish Intensive Care Society Annual Scientific Meeting 2017, St Andrews, UK, 26-27 Jan 2017.

Moss, L. , Shaw, M., Piper, I., Hawthorne, C. and Kinsella, J. (2016) Apache Spark for the Analysis of High Frequency Neurointensive Care Unit Data: Preliminary Comparison of Scala vs. R. AMIA Annual Symposium 2016, Chicago, IL, USA, 12-16 Nov 2016.

Moss, L. , Corsar, D., Hawthorne, C., Piper, I., Shaw, M. and Kinsella, J. (2014) Data quality in neurointensive care datasets. 44th Critical Care Congress, Society of Critical Care Medicine, Phoenix, AZ, USA, 17-21 Jan 2015. (doi: 10.1097/01.ccm.0000458064.02118.7b)

Moss, L. , Piper, I. and Shaw, M. (2012) Ontologies, Provenance, and Speckled Computing – Research Update. Brain IT 2012, Leuven, Belgium, Dec 2012.

McLeod, C., Kearns, R., Moss, L. and Kinsella, J. (2012) SIGN Guideline 122 – Adherence in an Intensive Care Unit. Scottish Intensive Care Society Annual Scientific Meeting, St Andrews, UK, 19-20 Jan 2012.

Moss, L. , Sleeman, D. and Kinsella, J. (2012) Clinicians’ Perspective on the Connection Between Myocardial Damage, Troponin, and Cardiovascular Abnormality. Scottish Intensive Care Society Annual Scientific Meeting, St Andrews, UK, 19-20 Jan 2012.

Moss, L. , Sleeman, D. and Kinsella, J. (2012) Differences in the identification of anomalies from computerized physiological data. K-MED 2012 - International Workshop on Capturing and Refining Knowledge in the Medical Domain, Galway City, Ireland, 08-12 Oct 2012. pp. 11-21.

Moss, L. , Sleeman, D., Sim, M. and Kinsella, J. (2012) Using cardiovascular derangements to predict raised troponin levels. K-MED 2012 - International Workshop on Capturing and Refining Knowledge in the Medical Domain, Galway City, Ireland, 08-12 Oct 2012. pp. 46-55.

Sleeman, D., Rogers, S. , Moss, L. , Aitken, A. and Kinsella, J. (2012) INSIGHT: Helping domain experts make their knowledge more consistent. K-MED 2012 - International Workshop on Capturing and Refining Knowledge in the Medical Domain, Galway City, Ireland, 08-12 Oct 2012. pp. 22-35.

Achenyo Ogbobi, B., Kearns, R., Moss, L. , Wright, F. and Kinsella, J. (2011) Dysphagia Following a Stroke: Can Every Patient be Given a Swallow Test on the Day of Admission? 53rd Annual General Meeting of the Scottish Society of Physicians, Dumfries, UK, 30 Sep - 01 Oct 2011.

Moss, L. , Piper, I. and Shaw, M. (2011) Precise Pressure (PP) – Infrared Based Head Tracking in the Automatic Correction of Cerebral Perfusion Pressure Measurement. BrainIT 2011, Uppsala, Sweden, May 2011.

Moss, L. , Grando, M.A., Sleeman, D., Sim, M., Gilhooly, C. and Kinsella, J. (2011) Formalizing and Understanding Collaborative Decision Making in the Intensive Care Unit (ICU). Scottish Intensive Care Society Annual Meeting, St Andrews, UK, Jan 2011.

Moss, L. , Sleeman, D., Booth, M., Donaldson, L., Gilhooly, C., Hughes, M. and Kinsella, J. (2010) Development of EIRA, a Knowledge-based System to Explain Anomalous Patient Responses to Treatment. BCS Health Scotland Conference, Glasgow, UK, 22-23 Sep 2010.

Moss, L. , Sleeman, D., Sim, M., Booth, M., Donaldson, L., Gilhooly, L., Hughes, M. and Kinsella, J. (2010) Transforming Clinical Anomalies into Clinical Insights: Developing a Knowledge-based System Which Explains a Patient’s Unexpected Reaction to Treatment. Scottish Intensive Care Society Annual Meeting, St Andrews, UK, 21-22 Jan 2010.

Sim, M., Moss, L. , Aitken, A., Kinsella, J. and Sleeman, D. (2010) Intermittent Haemodialysis May be Associated With Increased Haemodynamic Stability. Scottish Intensive Care Society Annual Meeting, St Andrews, UK, 21-22 Jan 2010.

Sim, M., Moss, L. , Kinsella, J. and Sleeman, D. (2007) Assessing Cardiovascular Status in the ICU. ICU Advances in Anaesthesia & Intensive Care Symposium, Glasgow, UK, Sep 2007.

Conference Proceedings

Moss, L. , Shaw, M., Piper, I., Kinsella, J. and Hawthorne, C. (2021) CHART-ADAPT: Enabling Actionable Analytics at the Critical Care Unit Bedside. In: 2021 34th International Symposium on Computer-Based Medical Systems (CBMS), 7-9 June 2021, ISBN 9781665441216 (doi: 10.1109/CBMS52027.2021.00032)

Sleeman, D., Kostadinov, K., Moss, L. and Sim, M. (2020) Resolving Differences of Opinion between Medical Experts: A Case Study with the IS-DELPHI System. In: 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), Valletta, Malta, 24-26 Feb 2020, pp. 66-76. ISBN 9789897583988 (doi: 10.5220/0008922000660076)

Stell, A., Piper, I. and Moss, L. (2018) Automated Measurement of Adherence to Traumatic Brain Injury (TBI) Guidelines using Neurological ICU Data. In: 11th International Joint Conference on Biomedical Engineering Systems and Technologies, Funchal, Madeira, Portugal, 19-21 Jan 2018, pp. 135-146. ISBN 9789897582813 (doi: 10.5220/0006583801350146)

Moss, L. , Shaw, M., Piper, I., Hawthorne, C. and Kinsella, J. (2017) Sharing of Big Data in Healthcare: Public Opinion, Trust, and Privacy Considerations for Health Informatics Researchers. In: 10th International Conference on Health Informatics, Porto, Portugal, 21-23 Feb 2017, pp. 463-468. ISBN 9789897582134

Moss, L. , Shaw, M., Piper, I., Hawthorne, C. and Kinsella, J. (2017) Sharing of Big Data in Healthcare: Public Opinion, Trust, and Privacy Considerations for Health Informatics Researchers. In: 10th International Joint Conference on Biomedical Engineering Systems and Technologies, Porto, Portugal, 21-23 Feb 2017, pp. 463-468. ISBN 9789897582134 (doi: 10.5220/0006251504630468)

Sleeman, D., Moss, L. and Kinsella, J. (2014) Temporal Discovery Workbench: A Case Study with ICU Patient Datasets. In: BCS Health Informatics Scotland (HIS) Conference, Glasgow, UK, 02-03 Sep 2014,

Moss, L. , Corsar, I., Piper, I. and Hawthorne, C. (2013) An Approach for Establishing the Quality of Traumatic Brain Injury Data. In: 15th International Symposium on Intracranial Pressure and Brain Monitoring (ICP 2013), Singapore, Nov 2013,

Moss, L. , Corsar, D. and Piper, I. (2012) A Linked Data Approach to Assessing Medical Data. In: 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Rome, Italy, 20-22 Jun 2012, ISBN 9781467320511 (doi: 10.1109/CBMS.2012.6266391)

Stell, A., Moss, L. and Piper, I. (2012) Knowledge-driven Inference of Medical Interventions. In: 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Rome, Italy, 20-22 Jun 2012, ISBN 9781467320511 (doi: 10.1109/CBMS.2012.6266389)

Sleeman, D., Moss, L. , Sim, M. and Kinsella, J. (2011) Predicting Adverse Events: Detecting Myocardial Damage in Intensive Care Unit (ICU) Patients. In: K-CAP 2011: The Sixth International Conference on Knowledge Capture, Banff, Alberta, Canada, 25-29 Jun 2011, pp. 73-80. ISBN 9781450303965 (doi: 10.1145/1999676.1999690)

Grando, M. A., Moss, L. , Glasspool, D., Sleeman, D., Sim, M., Gilhooly, C. and Kinsella, J. (2011) Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments. In: 13th Conference on Artificial Intelligence in Medicine (AIME 2011), Bled, Slovenia, 2-3 Jul 2011, pp. 35-44. ISBN 9783642222177 (doi: 10.1007/978-3-642-22218-4_5)

Moss, L. , Sleeman, D., Sim, M., Booth, M., Daniel, M., Donaldson, L., Gilhooly, C. , Hughes, M. and Kinsella, J. (2010) Ontology-Driven Hypothesis Generation to Explain Anomalous Patient Responses to Treatment. In: 29th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2009), Cambridge, UK, 15-17 Dec 2009, pp. 63-76. ISBN 9781848829824 (doi: 10.1007/978-1-84882-983-1_5)

Corsar, D., Moss, L. , Sleeman, D. and Sim, M. (2009) Supporting the Development of Medical Ontologies. In: Formal Ontologies Meet Industry (FOMI 2009), Vicenza, Italy, 2 Sep 2009, pp. 114-125. ISBN 9781607500476

Moss, L. , Sleeman, D., Kinsella, J. and Sim, M. (2008) ACHE: an Architecture for Clinical Hypothesis Examination. In: 21st IEEE International Symposium on Computer-Based Medical Systems, Jyvaskyla, Finland, June 17-19, 2008,

Moss, L. , Sleeman, D., Kinsella, J. and Sim, M. (2008) ACHE: An Architecture for Clinical Hypothesis Examination. In: 2008 21st IEEE International Symposium on Computer-Based Medical Systems, Jyvaskyla, Finland, 17-19 Jun 2008, pp. 158-160. ISBN 9780769531656 (doi: 10.1109/CBMS.2008.100)

Gyftodimos, E., Moss, L. , Sleeman, D. and Welch, A. (2007) Predicting Response to Chemotherapy in Breast Cancer Patients Using Machine Learning Techniques. In: Current Perspectives in Healthcare Computing 2007 (HC2007), Harrogate, UK, 19-21 Mar 2007,

This list was generated on Mon Apr 15 13:56:46 2024 BST.