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

Applications of AI (243) Intensive Care Unit (ICU) (154) Machine Learning (1965) Clinical Informatics (1256) Artificial Intelligence (1991) Clinical Information and Decision Making (1806)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72671, first published .
Intensive Care Unit Patient Outcome Prediction Using ν-Support Vector Classification and Stochastic Signal Processing–Based Feature Extraction Techniques: Algorithm Development and Validation Study

Intensive Care Unit Patient Outcome Prediction Using ν-Support Vector Classification and Stochastic Signal Processing–Based Feature Extraction Techniques: Algorithm Development and Validation Study

Intensive Care Unit Patient Outcome Prediction Using ν-Support Vector Classification and Stochastic Signal Processing–Based Feature Extraction Techniques: Algorithm Development and Validation Study

Authors of this article:

Shaodong Wang1 Author Orcid Image ;   Yiqun Jiang1, 2 Author Orcid Image ;   Qing Li1 Author Orcid Image ;   Wenli Zhang3 Author Orcid Image
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Shaodong Wang   1 , PhD ;   Yiqun Jiang   1, 2 , PhD ;   Qing Li   1 , PhD ;   Wenli Zhang   3 , PhD

1 Department of Industrial & Manufacturing Systems Engineering, Iowa State University, Ames, IA, United States

2 Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States

3 Department of Information Systems and Business Analytics, Iowa State University, Ames, United States

Corresponding Author:

  • Wenli Zhang, PhD
  • Department of Information Systems and Business Analytics
  • Iowa State University
  • 2167 Union Drive
  • Ames 50010
  • United States
  • Phone: 1 515-294-2469
  • Email: wlzhang@iastate.edu