This paper is in the following e-collection/theme issue:

Machine Learning (1465) Data Science (270) Big Data (240) Machine Learning (1465) Coronary Heart Disease (81)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17257, first published .
Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation

Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation

Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation

Authors of this article:

Zhenzhen Du1, 2 Author Orcid Image ;   Yujie Yang1, 3 Author Orcid Image ;   Jing Zheng4 Author Orcid Image ;   Qi Li1 Author Orcid Image ;   Denan Lin4 Author Orcid Image ;   Ye Li1 Author Orcid Image ;   Jianping Fan1 Author Orcid Image ;   Wen Cheng2 Author Orcid Image ;   Xie-Hui Chen5 Author Orcid Image ;   Yunpeng Cai1 Author Orcid Image
Article Authors Cited by (49) Tweetations Metrics

Journals

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  22. Abdulazeem H, Whitelaw S, Schauberger G, Klug S, Vathy-Fogarassy Á. A systematic review of clinical health conditions predicted by machine learning diagnostic and prognostic models trained or validated using real-world primary health care data. PLOS ONE 2023;18(9):e0274276 View
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Books/Policy Documents

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  2. Qiao H, Chen H, Lyu J, Feng Q. Advances in Swarm Intelligence. View
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