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

Artificial Intelligence (1676) Machine Learning (1694) Clinical Information and Decision Making (1612) Artificial Intelligence in Surgery and Perioperative Medicine (34) Decision Support for Health Professionals (1326) Surgery, Trauma and Surgical Sciences (162) Tools, Programs and Algorithms (315) Postoperative Cognitive Dysfunction (POCD) (2) Postoperative Monitoring and Telemonitoring (153)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55046, first published .
A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care IV Database: Retrospective Study

A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care IV Database: Retrospective Study

A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care IV Database: Retrospective Study

Authors of this article:

Zhendong Ding1 Author Orcid Image ;   Linan Zhang1 Author Orcid Image ;   Yihan Zhang1 Author Orcid Image ;   Jing Yang1 Author Orcid Image ;   Yuheng Luo2 Author Orcid Image ;   Mian Ge1 Author Orcid Image ;   Weifeng Yao1 Author Orcid Image ;   Ziqing Hei1 Author Orcid Image ;   Chaojin Chen1 Author Orcid Image
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