Ms Clea Du Toit
- DHVL Clinical Study and Data Coordinator (MVLS Innovation Engagement & Enterprise)
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Tran, T. Q. B. et al. (2024) Assessing machine learning for diagnostic classification of hypertension types identified by ambulatory blood pressure monitoring. CJC Open, (doi: 10.1016/j.cjco.2024.03.005) (Early Online Publication)
Le, N. N., Tran, T. Q. B., Du Toit, C. , Gill, D. and Padmanabhan, S. (2023) Establishing plausibility of cardiovascular adverse effects of immunotherapies using Mendelian randomisation. Frontiers in Cardiovascular Medicine, 10, 1116799. (doi: 10.3389/fcvm.2023.1116799) (PMID:37273876) (PMCID:PMC10235787)
Du Toit, C. et al. (2023) Survey and evaluation of hypertension machine learning research. Journal of the American Heart Association, 12(9), e027896. (doi: 10.1161/JAHA.122.027896) (PMID:37119074) (PMCID:PMC10227215)
Garimella, P. S., Du Toit, C. , Le, N. N. and Padmanabhan, S. (2023) A genomic deep field view of hypertension. Kidney International, 103(1), pp. 42-52. (doi: 10.1016/j.kint.2022.09.029) (PMID:36377113)
Padmanabhan, S. , Du Toit, C. and Dominiczak, A. F. (2023) Cardiovascular precision medicine – a pharmacogenomic perspective. Cambridge Prisms: Precision Medicine, 1, pp. 1-54. e28. (doi: 10.1017/pcm.2023.17)
Louca, P., Tran, T. Q. B., Du Toit, C. , Christofidou, P., Spector, T. D., Mangino, M., Suhre, K., Padmanabhan, S. and Menni, C. (2022) Machine learning integration of multimodal data identifies key features of blood pressure regulation. EBioMedicine, 84, 104243. (doi: 10.1016/j.ebiom.2022.104243) (PMID:36084617) (PMCID:PMC9463529)
Du Toit, C. et al. (2022) Investigating the quality of machine learning research and reporting in hypertension. European Society of Hypertension 31st Annual Meeting, Athens, Greece, 17-21 Jul 2022. e78. (doi: 10.1097/01.hjh.0000835956.81410.5e)
Tran, T. Q. B. et al. (2024) Assessing machine learning for diagnostic classification of hypertension types identified by ambulatory blood pressure monitoring. CJC Open, (doi: 10.1016/j.cjco.2024.03.005) (Early Online Publication)
Le, N. N., Tran, T. Q. B., Du Toit, C. , Gill, D. and Padmanabhan, S. (2023) Establishing plausibility of cardiovascular adverse effects of immunotherapies using Mendelian randomisation. Frontiers in Cardiovascular Medicine, 10, 1116799. (doi: 10.3389/fcvm.2023.1116799) (PMID:37273876) (PMCID:PMC10235787)
Du Toit, C. et al. (2023) Survey and evaluation of hypertension machine learning research. Journal of the American Heart Association, 12(9), e027896. (doi: 10.1161/JAHA.122.027896) (PMID:37119074) (PMCID:PMC10227215)
Garimella, P. S., Du Toit, C. , Le, N. N. and Padmanabhan, S. (2023) A genomic deep field view of hypertension. Kidney International, 103(1), pp. 42-52. (doi: 10.1016/j.kint.2022.09.029) (PMID:36377113)
Padmanabhan, S. , Du Toit, C. and Dominiczak, A. F. (2023) Cardiovascular precision medicine – a pharmacogenomic perspective. Cambridge Prisms: Precision Medicine, 1, pp. 1-54. e28. (doi: 10.1017/pcm.2023.17)
Louca, P., Tran, T. Q. B., Du Toit, C. , Christofidou, P., Spector, T. D., Mangino, M., Suhre, K., Padmanabhan, S. and Menni, C. (2022) Machine learning integration of multimodal data identifies key features of blood pressure regulation. EBioMedicine, 84, 104243. (doi: 10.1016/j.ebiom.2022.104243) (PMID:36084617) (PMCID:PMC9463529)
Du Toit, C. et al. (2022) Investigating the quality of machine learning research and reporting in hypertension. European Society of Hypertension 31st Annual Meeting, Athens, Greece, 17-21 Jul 2022. e78. (doi: 10.1097/01.hjh.0000835956.81410.5e)
https://orcid.org/0000-0002-7221-6965