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

Machine Learning (1465) Stroke (163) Big Data (240) Clinical Information and Decision Making (1407) Electronic Health Records (1053) Bioinformatics Methods and Algorithms (14) Hypertension Prevention and Treatment (224)

Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30277, first published .
Accurate Prediction of Stroke for Hypertensive Patients Based on Medical Big Data and Machine Learning Algorithms: Retrospective Study

Accurate Prediction of Stroke for Hypertensive Patients Based on Medical Big Data and Machine Learning Algorithms: Retrospective Study

Accurate Prediction of Stroke for Hypertensive Patients Based on Medical Big Data and Machine Learning Algorithms: Retrospective Study

Authors of this article:

Yujie Yang1, 2 Author Orcid Image ;   Jing Zheng3 Author Orcid Image ;   Zhenzhen Du1 Author Orcid Image ;   Ye Li1, 4 Author Orcid Image ;   Yunpeng Cai1 Author Orcid Image
Article Authors Cited by (12) Tweetations (4) Metrics

Journals

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  8. Li X, Wang S, Wu K, Mo C, Li F, Cheng Z, Liang F, Zheng J, Gu D. Time-dependent cardiovascular risks following pneumonia in inpatient and outpatient settings: A register-based cohort study. International Journal of Cardiology Cardiovascular Risk and Prevention 2024;22:200317 View
  9. Gupta A, Mishra N, Jatana N, Malik S, Gepreel K, Asmat F, Mohanty S. Predicting stroke risk: An effective stroke prediction model based on neural networks. Journal of Neurorestoratology 2024:100156 View
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  11. Du Z, Wang S, Yang O, He J, Yang Y, Zheng J, Zhao H, Cai Y. Machine-learning-based prediction of cardiovascular events for hyperlipidemia population with lipid variability and remnant cholesterol as biomarkers. Health Information Science and Systems 2024;12(1) View