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

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (573) Clinical Information and Decision Making (1407) Artificial Intelligence (1371) Infectious Diseases (non-STD/STI) (1575) Machine Learning (1465) Decision Support for Health Professionals (1185)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45515, first published .
Clinical Timing-Sequence Warning Models for Serious Bacterial Infections in Adults Based on Machine Learning: Retrospective Study

Clinical Timing-Sequence Warning Models for Serious Bacterial Infections in Adults Based on Machine Learning: Retrospective Study

Clinical Timing-Sequence Warning Models for Serious Bacterial Infections in Adults Based on Machine Learning: Retrospective Study

Authors of this article:

Jian Liu1 Author Orcid Image ;   Jia Chen2 Author Orcid Image ;   Yongquan Dong3 Author Orcid Image ;   Yan Lou4 Author Orcid Image ;   Yu Tian5 Author Orcid Image ;   Huiyao Sun2 Author Orcid Image ;   Yuqing Jin2 Author Orcid Image ;   Jingsong Li6 Author Orcid Image ;   Yunqing Qiu7 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Jian Liu   1 * , MD ;   Jia Chen   2 * , MSc ;   Yongquan Dong   3 , MD ;   Yan Lou   4 , PhD ;   Yu Tian   5 , PhD ;   Huiyao Sun   2 , MSc ;   Yuqing Jin   2 , MSc ;   Jingsong Li   6 , PhD ;   Yunqing Qiu   7 , MD, PhD

1 Department of Intensive Care Unit, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China

2 Research Center for Healthcare Data Science, Zhejiang Laboratory, Hangzhou, China

3 Department of Respiratory Disease, Yinzhou Second Hospital, Ningbo, China

4 Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation,Department of Clinical Pharmacy, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China

5 Engineering Research Center of Electronic Medical Record and Intelligent Expert System, Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China

6 Research Center for Healthcare Data Science, Zhejiang Laboratory, Engineering Research Center of Electronic Medical Record and Intelligent Expert System, Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China

7 State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China

*these authors contributed equally

Corresponding Author:

  • Yunqing Qiu, MD, PhD
  • State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation
  • the First Affiliated Hospital, College of Medicine, Zhejiang University
  • NO.79 Qingchun Road
  • Hangzhou, 310003
  • China
  • Phone: 86 13588189339
  • Fax: 86 0571-87236800
  • Email: qiuyq@zju.edu.cn