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

Our study contributes to health care operation management by leveraging digital traces from health care information systems to address challenges with significant implications for health care.

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Publication Details

Journal
JMIR AI
Published
2025-08-26
DOI
https://doi.org/10.2196/72671
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Qing Li, Wenli Zhang, Shaodong Wang, Yiqun Jiang
JMIR AI
Machine Learning in Healthcare
article

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

Qing Li, Wenli Zhang, Shaodong Wang, Yiqun Jiang
article en

Abstract

Our study contributes to health care operation management by leveraging digital traces from health care information systems to address challenges with significant implications for health care.

JMIR AIVol. 4
Iowa State University (US), Mayo Clinic in Arizona (US)
Openalex Percentile: Top 88%
Machine Learning in Healthcare
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