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

Development and Evaluation of Research Methods, Instruments and Tools (1246) Clinical Informatics (2126) Clinical Information and Decision Making (3516) Decision Support for Health Professionals (2110) Artificial Intelligence in Surgery and Perioperative Medicine (73) Clinical Decision Support for Anesthesiology (24) Outcomes Research in Perioperative Medicine (73)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80294, first published .
Nurse holds patient's hand with pulse oximeter attached to finger.

Stratified Causal Inference for Intensive Care Unit Risk Prediction: Informatics-Based Modeling of Anesthetic Drug Combinations

Stratified Causal Inference for Intensive Care Unit Risk Prediction: Informatics-Based Modeling of Anesthetic Drug Combinations

Authors of this article:

Junqi Cui1 Author Orcid Image ;   Weijia Li2 Author Orcid Image ;   Enoch Chi Ngai Lim3 Author Orcid Image ;   Xiaoqin Wu4 Author Orcid Image ;   Chi Eung Danforn Lim3, 5, 6 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Lim E, Cheng N, Lim C. Detecting Pseudothrombocytopenia in the Era of Artificial Intelligence: Integration of Automated Hematology, Digital Morphology, and Expert Review. Cureus 2026 View
  2. Cui J, Li W, Lim E, Wu X, Chen F, Lim C. From TCMBank to translational hypotheses: A machine-learning framework for prioritizing Chinese medicinal herbs for liver diseases. Journal of Traditional Chinese Medical Sciences 2026 View