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

Clinical Information and Decision Making (1411) Clinical Informatics (1028) Machine Learning (1471) Decision Support for Health Professionals (1191) Advanced Data Analytics in eHealth (136) Artificial Intelligence (1377) Hygiene and Infection Prevention (318) Safety and Error Prevention in Health (204) Postoperative Monitoring and Telemonitoring (125)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57486, first published .
Identification of a Susceptible and High-Risk Population for Postoperative Systemic Inflammatory Response Syndrome in Older Adults: Machine Learning–Based Predictive Model

Identification of a Susceptible and High-Risk Population for Postoperative Systemic Inflammatory Response Syndrome in Older Adults: Machine Learning–Based Predictive Model

Identification of a Susceptible and High-Risk Population for Postoperative Systemic Inflammatory Response Syndrome in Older Adults: Machine Learning–Based Predictive Model

Authors of this article:

Haiyan Mai1 Author Orcid Image ;   Yaxin Lu2 Author Orcid Image ;   Yu Fu1 Author Orcid Image ;   Tongsen Luo2 Author Orcid Image ;   Xiaoyue Li2 Author Orcid Image ;   Yihan Zhang2 Author Orcid Image ;   Zifeng Liu2 Author Orcid Image ;   Yuenong Zhang3 Author Orcid Image ;   Shaoli Zhou2 Author Orcid Image ;   Chaojin Chen2, 4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Haiyan Mai   1 * , BS ;   Yaxin Lu   2 * , MS ;   Yu Fu   1 * , MS ;   Tongsen Luo   2 , MS ;   Xiaoyue Li   2 , MS ;   Yihan Zhang   2 , PhD ;   Zifeng Liu   2 , PhD ;   Yuenong Zhang   3 , MS ;   Shaoli Zhou   2 , PhD ;   Chaojin Chen   2, 4 , PhD

1 Department of Pharmacy, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China

2 Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China

3 Department of Surgery and Anesthesia, The Third Affiliated Hospital of Sun Yat-sen University Yuedong Hospital, Meizhou, China

4 Big Data and Artificial Intelligence Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China

*these authors contributed equally

Corresponding Author:

  • Chaojin Chen, PhD
  • Department of Anesthesiology
  • The Third Affiliated Hospital of Sun Yat-sen University
  • 600 Tianhe Road
  • Tianhe District
  • Guangzhou, 510631
  • China
  • Phone: 86 020-85253333
  • Email: chenchj28@mail.sysu.edu.cn