A Machine Learning-Based Prediction Model for Cardiovascular Risk in Women With Preeclampsia

Frontiers in Cardiovascular Medicine

Jie Du¹  Jun Zhang¹  Yulin Li¹  Guan Wang²  Xiuzhen Li³  Dongkui Jiang³  Yanbo Zhang⁴  Sijin Li⁵ 

[1] Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China;Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China;Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, China;Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, China;Department of Health Statistics, School of Public Health, Shanxi Medical University, Shanxi Key Laboratory of Major Diseases Risk Assessment, Taiyuan, China;First Hospital of Shanxi Medical University, Molecular Imaging Precision Medicine Collaborative Innovation Center, Shanxi Medical University, Taiyuan, China;

关键词: preeclampsia;    hypertension;    cardiovascular disease;    machine learning;    prediction;    model;   

DOI  :  10.3389/fcvm.2021.736491

来源: Frontiers

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