Publications

List by: Type | Date

Jump to: 2024 | 2023 | 2022 | 2021
Number of items: 10.

2024

Sosenko, F. et al. (2024) Cancer diagnosis after emergency presentation: impact of demographics, cancer types, and pandemic. Academia Oncology, 1(2), pp. 1-8. (doi: 10.20935/AcadOnco7422)

Tran, T. Q. B. et al. (2024) Assessing machine learning for diagnostic classification of hypertension types identified by ambulatory blood pressure monitoring. CJC Open, 6(6), pp. 798-804. (doi: 10.1016/j.cjco.2024.03.005) (PMID:39022171) (PMCID:PMC11250845)

2023

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)

Tran, T. Q. B. et al. (2023) Predictive accuracy and clinical utility of machine learning prediction for classifying blood pressure status. SSRN, (doi: 10.2139/ssrn.4307704)

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)

2022

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)

2021

Tran, T. Q. B., Du Toit, C. and Padmanabhan, S. (2021) Artificial intelligence in healthcare-the road to precision medicine. Journal of Hospital Management and Health Policy, 5, 29. (doi: 10.21037/JHMHP-20-132)

This list was generated on Sun Feb 23 08:00:12 2025 GMT.
Jump to: Articles | Conference or Workshop Item
Number of items: 11.

Articles

Sosenko, F. et al. (2024) Cancer diagnosis after emergency presentation: impact of demographics, cancer types, and pandemic. Academia Oncology, 1(2), pp. 1-8. (doi: 10.20935/AcadOnco7422)

Tran, T. Q. B. et al. (2024) Assessing machine learning for diagnostic classification of hypertension types identified by ambulatory blood pressure monitoring. CJC Open, 6(6), pp. 798-804. (doi: 10.1016/j.cjco.2024.03.005) (PMID:39022171) (PMCID:PMC11250845)

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)

Tran, T. Q. B. et al. (2023) Predictive accuracy and clinical utility of machine learning prediction for classifying blood pressure status. SSRN, (doi: 10.2139/ssrn.4307704)

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)

Tran, T. Q. B., Du Toit, C. and Padmanabhan, S. (2021) Artificial intelligence in healthcare-the road to precision medicine. Journal of Hospital Management and Health Policy, 5, 29. (doi: 10.21037/JHMHP-20-132)

Deo, N. et al. HUMANE: Harmonious Understanding of Machine Learning Analytics Network—global consensus for research on artificial intelligence in medicine. Exploration of Digital Health Technologies, 2, pp. 157-166. (doi: 10.37349/edht.2024.00018)

Conference or Workshop Item

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)

This list was generated on Sun Feb 23 08:00:12 2025 GMT.