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

Clinical Information and Decision Making (1407) Machine Learning (1465) Decision Support for Health Professionals (1186) Intensive Care Unit (ICU) (112) Artificial Intelligence (1371)

Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27118, first published .
A Clinical Prediction Model to Predict Heparin Treatment Outcomes and Provide Dosage Recommendations: Development and Validation Study

A Clinical Prediction Model to Predict Heparin Treatment Outcomes and Provide Dosage Recommendations: Development and Validation Study

A Clinical Prediction Model to Predict Heparin Treatment Outcomes and Provide Dosage Recommendations: Development and Validation Study

Authors of this article:

Dongkai Li1 Author Orcid Image ;   Jianwei Gao2 Author Orcid Image ;   Na Hong2 Author Orcid Image ;   Hao Wang1 Author Orcid Image ;   Longxiang Su1 Author Orcid Image ;   Chun Liu2 Author Orcid Image ;   Jie He2 Author Orcid Image ;   Huizhen Jiang3 Author Orcid Image ;   Qiang Wang2 Author Orcid Image ;   Yun Long1 Author Orcid Image ;   Weiguo Zhu3, 4 Author Orcid Image
Article Authors Cited by (8) Tweetations (1) Metrics

Dongkai Li   1 * , MD, PhD ;   Jianwei Gao   2 * , PhD ;   Na Hong   2 * , PhD ;   Hao Wang   1 * , MD, PhD ;   Longxiang Su   1 , MD, PhD ;   Chun Liu   2 , PhD ;   Jie He   2 , PhD ;   Huizhen Jiang   3 , MSc ;   Qiang Wang   2 , MSc ;   Yun Long   1 , MD, PhD ;   Weiguo Zhu   3, 4 , MD, PhD

1 Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China

2 Digital Health China Technologies Co. Ltd., Beijing, China

3 Department of Information Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

4 Department of Primary Care and Family Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Weiguo Zhu, MD, PhD
  • Department of Information Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
  • No.1 Shuaifuyuan, Dongcheng District
  • Beijing
  • China
  • Phone: 86 69154149
  • Email: zhuwg@pumch.cn