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

Machine Learning (1979) Clinical Information and Decision Making (1815) Decision Support for Health Professionals (1473) mHealth in a Clinical Setting (720) Hypertension Prevention and Treatment (283) Cardiac Risk and Cardiac Risk Calculators (92)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74117, first published .
Interpretable Machine Learning Model for Pulmonary Hypertension Risk Prediction: Retrospective Cohort Study

Interpretable Machine Learning Model for Pulmonary Hypertension Risk Prediction: Retrospective Cohort Study

Interpretable Machine Learning Model for Pulmonary Hypertension Risk Prediction: Retrospective Cohort Study

Authors of this article:

Hongxia Jiang1 Author Orcid Image ;   Han Gao1 Author Orcid Image ;   Dexin Wang2 Author Orcid Image ;   Qingli Zeng1 Author Orcid Image ;   Xiaojun Hao1 Author Orcid Image ;   Zhenshun Cheng1, 3, 4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Hongxia Jiang   1 * , PhD ;   Han Gao   1 * , PhD ;   Dexin Wang   2 * , PhD ;   Qingli Zeng   1 , MD ;   Xiaojun Hao   1 , PhD ;   Zhenshun Cheng   1, 3, 4 , PhD

1 Department of Respiratory and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China

2 Department of Respiratory and Critical Care Medicine, Qichun County People's Hospital, Huanggang, China

3 Wuhan Research Center for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, China

4 Hubei Engineering Center for Infectious Disease Prevention, Control and Treatment, Wuhan, China

*these authors contributed equally

Corresponding Author:

  • Zhenshun Cheng, PhD
  • Department of Respiratory and Critical Care Medicine
  • Zhongnan Hospital of Wuhan University
  • Number 169, Donghu Road, Wuchang District
  • Wuhan 430000
  • China
  • Email: zhenshun_cheng@126.com