周建棟
助理教授(與家庭醫學及基層醫療學系和藥理及藥劑學系聯合聘任)
流行病和生物統計學
- BSc (BIT), MSc (BUCT), PhD (CityU), PostDoc (Oxford)
2831 5079 | |
jdzhou@hku.hk | |
ORCID: 周建棟 |
个人简介
Prof Zhou was jointly appointed by the Department of Family Medicine and Primary Care (host department), the Department of Pharmacology and Pharmacy, and the School of Public Health at the HKU LKS Faculty of Medicine in 2024. He earned his PhD in Data Science from the School of Data Science, City University of Hong Kong, and received his post-doctoral training as a Medical Statistician at the Nuffield Department of Medicine, University of Oxford, United Kingdom. Before joining HKU, Prof Zhou worked as Assistant Professor at Warwick Medical School, University of Warwick, United Kingdom.
Prof Zhou has research interests in big data analytics, medical statistics, primary care and preventive health, case-control and cohort studies, predictive and decision analytics, pharmacoepidemiology and aetiology of chronic diseases (including cardiovascular diseases, diabetes mellitus, etc. for family medicine patients). He has study interests in casual treatment effects analysis (double machine learning), social epidemiology and adverse online events identification with text mining, high-dimension data representation and latent cluster pattern learning in large-scale health datasets. Recently, he is conducting machine learning analytics for illness trajectories and palliative care, especially progression pattern analysis/visualization, end stage risk accessment following chronic diseases, and non-invasive cancer screening
Prof Zhou has research interests in big data analytics, medical statistics, primary care and preventive health, case-control and cohort studies, predictive and decision analytics, pharmacoepidemiology and aetiology of chronic diseases (including cardiovascular diseases, diabetes mellitus, etc. for family medicine patients). He has study interests in casual treatment effects analysis (double machine learning), social epidemiology and adverse online events identification with text mining, high-dimension data representation and latent cluster pattern learning in large-scale health datasets. Recently, he is conducting machine learning analytics for illness trajectories and palliative care, especially progression pattern analysis/visualization, end stage risk accessment following chronic diseases, and non-invasive cancer screening
发表的部分文章
- O.H.I Chou, J. Ning, R.N.C. Chan, C.T. Chung, H. Huang, K. Ng, E. C. Dee, S. Lee, A. Kaewdech, A.K.M. Chow, N. K. Man, T. Liu, F.S. Jing, B.M.Y. Cheung, G. Tse, J.D. Zhou. Comparisons of New-Onset Prostate Cancer in Type 2 Diabetes Mellitus Exposed to SGLT2I, DPP4I and GLP1: A Population-Based Cohort Study. JNCCN—Journal of the National Comprehensive Cancer Network. 2024 (To appear).
- X.Y. Gao, N. Zhang, L. Lu, T.Y. Gao, O.H.I. Chou, W.T. Wong, C. Chang, A.K.C. Wai, G. Y. H. Lip, Q.P. Zhang, G. Tse, T. Liu, J.D. Zhou. New-Onset Syncope In Diabetic Patients Treated With Sodium-Glucose Cotransporter-2 Inhibitors Versus Dipeptidyl Peptidase-4 Inhibitors: A Chinese Population-Based Cohort Study. European Heart Journal - Cardiovascular Pharmacotherapy. 2023. Doi: 10.1093/ehjcvp/pvad086.
- J.D. Zhou, I. Lakhani, O.H.I. Chou, K.S.T. Leung, T.T.L. Lee, M.Y. Wong, Z. Li, A.K.C. Wai, C. Chang, I.C.K. Wong, Q.P. Zhang, G. Tse, B.M.Y. Cheung. Clinical Characteristics, Risk Factors And Outcomes Of Cancer Patients With COVID-19: A Population-Based Study. Cancer Medicine, 2023, 12(1): 287-296. Doi: 10.1002/cam4.4888.
- O.H.I. Chou, J.D. Zhou, L.F. Li, J.H.K. Chan, D.I. Satti, V.H.C. Chou, W.T. Wong, S. Lee, B.M.Y. Cheung, G. Tse, C. Chang. The Association Between Neutrophil-Lymphocyte Ratio and Variability with New-Onset Dementia: A Population-Based Cohort Study. Journal of Alzheimer’s Disease, 2023, 94 (2): 547-557. Doi: 10.3233/JAD-220111.
- G. Tse, Q. Lee, O.H.I. Chou, C.T. Chung, S. Lee, J.H.K. Chan, G.L. Li, N. Kaur, L. Roever, H.P. Liu, T. Liu, J.D. Zhou. (2023). Healthcare Big Data in Hong Kong: Development and Implementation of Artificial Intelligence-Enhanced Predictive Models for Risk Stratification. Current Problems in Cardiology, 2023, 49(1-B): 102168. Doi: 10.1016/j.cpcardiol.2023.102168.
- Y.H.A. Lee, J.D. Zhou, J.M.H. Hui, X.J. Liu, T.T.L. Lee, K. Hui, J.S.K. Chan, A.K.C. Wai, W.T. Wong, T. Liu, K. Ng, S. Lee, E.C. Dee, Q.P. Zhang, G. Tse. Risk of New-Onset Prostate Cancer for Metformin Versus Sulfonylurea Use in Type 2 Diabetes Mellitus: A Propensity Score–Matched Study. Journal of the National Comprehensive Cancer Network, 2022, 20(6), 674-682. Doi: 10.6004/jnccn.2022.7010.
- J.S.K. Chan, D.I. Satti, Y.H.A. Lee, J.M.H. Hui, T.T.L. Lee, O.H.I. Chou, A.K.C. Wai, A. Ciobanu, Y. Liu, T. Liu, L. Roever, G.B. Zoccai, Q.P. Zhang, B.M.Y. Cheung, J.D. Zhou, G. Tse. High Visit-to-Visit Cholesterol Variability Predicts Heart Failure And Adverse Cardiovascular Events: A Population-Based Cohort Study, European Journal of Preventive Cardiology, 2022, 29(14), e323-e325. Doi: 10.1093/eurjpc/zwac097.
- J.D. Zhou, X.S. Wang, S. Lee, W.K.K. Wu, B.M.Y. Cheung, Q.P. Zhang, G. Tse. Gender-Specific Clinical Risk Scores Incorporating Blood Pressure Variability For Predicting Incident Dementia. Journal of the American Medical Informatics Association, 2022, 29(2): 335-347. Doi: 10.1136/gutjnl-2020-323668.
- J.D. Zhou, S. Lee, X.S. Wang, Y. Li, W.K.K. Wu, T. Liu, Z.D. Cao, D.D.J. Zeng, K.S.T. Leung, A.K.C. Wai, I.C.K. Wong, B.M.Y. Cheung, Q.P. Zhang, G. Tse. Development Of A Multivariable Prediction Model For Severe COVID-19 Disease: A Population-Based Study From Hong Kong. NPJ Digital Medicine, 2021, 4(1): 66, Doi: 10.1038/s41746-021-00433-4.
- J.D. Zhou, X.S. Wang, S. Lee, W.K.K. Wu, B.M.Y. Cheung, Q.P. Zhang, G. Tse. Proton Pump Inhibitor Or Famotidine Use And Severe COVID-19 Disease: A Propensity Score-Matched Territory-Wide Study, Gut, 2020, Doi: 10.1136/gutjnl-2020-323668.