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

Artificial Intelligence (2162) New Methods (1140) Machine Learning (2095) Artificial Intelligence in Surgery and Perioperative Medicine (43) Clinical Information and Decision Making (1935) Stroke (248)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58021, first published .
Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study

Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study

Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study

Authors of this article:

Mi-Young Oh1 Author Orcid Image ;   Hee-Soo Kim2 Author Orcid Image ;   Young Mi Jung3 Author Orcid Image ;   Hyung-Chul Lee4, 5 Author Orcid Image ;   Seung-Bo Lee2 Author Orcid Image ;   Seung Mi Lee6, 7, 8, 9 Author Orcid Image
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Journals

  1. Gao S, Zhao X, Chen L, Yu J, Tian S, Zhou H, Chen J, Long S, He Q, Feng X. Enhancing privacy-preserving deployable large language models for perioperative complication detection: a targeted strategy with LoRA fine-tuning. npj Digital Medicine 2025;8(1) View