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

Formative Evaluation of Digital Health Interventions (3544) Clinical Information and Decision Making (2128) Obstetrics, Gynecology, and Reproductive Medicine (352) Machine Learning (2289) Patient Monitoring and Anesthesia Information Management Systems (21) Artificial Intelligence in Surgery and Perioperative Medicine (51)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54097, first published .
Machine Learning Model for Anesthetic Risk Stratification for Gynecologic and Obstetric Patients: Cross-Sectional Study Outlining a Novel Approach for Early Detection

Machine Learning Model for Anesthetic Risk Stratification for Gynecologic and Obstetric Patients: Cross-Sectional Study Outlining a Novel Approach for Early Detection

Machine Learning Model for Anesthetic Risk Stratification for Gynecologic and Obstetric Patients: Cross-Sectional Study Outlining a Novel Approach for Early Detection

Authors of this article:

Feng-Fang Tsai1 Author Orcid Image ;   Yung-Chun Chang2, 3, 4 Author Orcid Image ;   Yu-Wen Chiu2 Author Orcid Image ;   Bor-Ching Sheu5, 6 Author Orcid Image ;   Min-Huei Hsu2, 4 Author Orcid Image ;   Huei-Ming Yeh1 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Ocampo Osorio F, Alzate-Ricaurte S, Mejia Vallecilla T, Cruz-Suarez G. The anesthesiologist’s guide to critically assessing machine learning research: a narrative review. BMC Anesthesiology 2024;24(1) View
  2. Amanatidis A, Egan K, Nio K, Toma M. Data-Leakage-Aware Preoperative Prediction of Postoperative Complications from Structured Data and Preoperative Clinical Notes. Surgeries 2025;6(4):87 View
  3. Chinn L, Nemeh I, Chinn N. Artificial intelligence-enabled clinical decision support systems in preadmission testing: a scoping review of risk prediction, triage, and perioperative workflows (2020–2025). Journal of Clinical Monitoring and Computing 2026;40(2):525 View
  4. Ko S, Huang T, Huang M, Lin Y, Su Y, Chang Y. Comparative Analysis of Large Language Models and Machine Learning for ASA Classification Using Structured Electronic Health Record Data. Journal of Medical Systems 2026;50(1) View
  5. Keresztes M, Azamfirei L, Almasy E, Szederjesi J. Target-Controlled  Infusion for Caesarean Delivery Under General Anesthesia: From Conventional Pharmacokinetic Models to Physiologically Based Pharmacokinetic Modeling. Life 2026;16(5):739 View