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

Electronic Health Records (1713) Clinical Information and Decision Making (3672) Cost-Effectiveness and Economics (502) Advanced Data Analytics in eHealth (349) Information Models (102) Machine Learning (3140) Stroke (317)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/93680, first published .
Elderly man in wheelchair looking out a window

Network Analysis–Driven Machine Learning Model for Identifying High-Cost Stroke Inpatients Using Hospital Discharge Data: Retrospective Study

Network Analysis–Driven Machine Learning Model for Identifying High-Cost Stroke Inpatients Using Hospital Discharge Data: Retrospective Study

Authors of this article:

Haohui Shen1 Author Orcid Image ;   Yilong Yang1 Author Orcid Image ;   Mengge Zhang1 Author Orcid Image ;   Jingyi Xiang1 Author Orcid Image ;   Runan Wang2 Author Orcid Image ;   Pin Yao3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Haohui Shen   1 * , MSc ;   Yilong Yang   1 * , PhD ;   Mengge Zhang   1 , MSc ;   Jingyi Xiang   1 , MSc ;   Runan Wang   2 , PhD ;   Pin Yao   3 , PhD

1 Department of Health Policy and Management, Hangzhou Normal University, Hangzhou, Zhejiang, China

2 Department of Pediatrics, Shengjing Hospital of China Medical University, Liaoning, Shenyang, China

3 Department of Health Management, Shenyang Women's and Children's Hospital, Shenyang, Liaoning, China

*these authors contributed equally

Corresponding Author:

  • Pin Yao, PhD
  • Department of Health Management
  • Shenyang Women's and Children's Hospital
  • No.87 Danan Road
  • Shenyang, Liaoning 110011
  • China
  • Phone: +86-18940056788
  • Fax: +86-024-22853728
  • Email: yaopincmu@163.com