A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-T...
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
About this item
Full title
Author / Creator
Ding, Zhendong , Zhang, Linan , Zhang, Yihan , Yang, Jing , Luo, Yuheng , Ge, Mian , Yao, Weifeng , Hei, Ziqing and Chen, Chaojin
Publisher
Canada: Journal of Medical Internet Research
Journal title
Language
English
Formats
Publication information
Publisher
Canada: Journal of Medical Internet Research
Subjects
More information
Scope and Contents
Contents
Patients undergoing liver transplantation (LT) are at risk of perioperative neurocognitive dysfunction (PND), which significantly affects the patients' prognosis.
This study used machine learning (ML) algorithms with an aim to extract critical predictors and develop an ML model to predict PND among LT recipients.
In this retrospective study,...
Alternative Titles
Full title
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, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_1f08cf600a474042a9ee17f3ff241a34
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1f08cf600a474042a9ee17f3ff241a34
Other Identifiers
ISSN
1438-8871,1439-4456
E-ISSN
1438-8871
DOI
10.2196/55046
