Machine learning-based phenotyping and assessment of treatment responses in heart failure with preserved ejection fraction

This study was supported by the Noncommunicable Chronic Diseases-National Science and Technology Major Project (2024ZD0539000), National Natural Science Foundation of China (82300291), Beijing Nova Program (20230484275), University of Michigan Medical School (UMMS) and Peking University Health Science Center (PKUHSC) Joint Institute for Translational and Clinical Research (BMU2023JI004), Clinical Cohort Construction Program of Peking University Third Hospital (BYSYDL2023009), CAMS Innovation Fund for Medical Sciences (2021-I2M-5-003), Peking University Shi-Ji Jin-Yuan Medical Foundation (48014Y0243), and Beijing Excellent Clinical Research Program (BRWEP2024W014090203).

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Publication Details

Journal
EClinicalMedicine
Published
2025-08-26
DOI
https://doi.org/10.1016/j.eclinm.2025.103462
Citations
6
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
8.33

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article

Machine learning-based phenotyping and assessment of treatment responses in heart failure with preserved ejection fraction

Yi‐Da Tang, Zhen Zhao, Rui Li, Xiaoyan Gu et al.
6 citations
EClinicalMedicine
Cardiovascular Function and Risk Factors
8.33
article

Machine learning-based phenotyping and assessment of treatment responses in heart failure with preserved ejection fraction

Yi‐Da Tang, Zhen Zhao, Rui Li, Xiaoyan Gu, Baoxia Chen, Jun Gao, Daniel Beard, Scott L. Hummel, Hui Fan, Brian E. Carlson, Xinwei Hua, Yijun Liu, Wenyue Dong, Conghui Zhang, Qi Yu, Feng Gu
article en
6 citations

Abstract

This study was supported by the Noncommunicable Chronic Diseases-National Science and Technology Major Project (2024ZD0539000), National Natural Science Foundation of China (82300291), Beijing Nova Program (20230484275), University of Michigan Medical School (UMMS) and Peking University Health Science Center (PKUHSC) Joint Institute for Translational and Clinical Research (BMU2023JI004), Clinical Cohort Construction Program of Peking University Third Hospital (BYSYDL2023009), CAMS Innovation Fund for Medical Sciences (2021-I2M-5-003), Peking University Shi-Ji Jin-Yuan Medical Foundation (48014Y0243), and Beijing Excellent Clinical Research Program (BRWEP2024W014090203).

EClinicalMedicineVol. 88
Chinese Academy of Sciences (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), National Medical Products Administration (CN), University of Michigan (US), VA Ann Arbor Healthcare System (US), Michigan Medicine (US), Peking University Third Hospital (CN), Institute of Information Engineering (CN), Beihang University (CN)
National Natural Science Foundation of China, Peking University, Peking University Third Hospital, National Science and Technology Major Project, Medical School, University of Michigan, Beijing Nova Program, Peking University Health Science Center
Good health and well-being
Openalex Percentile: Top 2%
Cardiovascular Function and Risk Factors
8.33
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