Prediction of in-hospital mortality risk in cardiac arrest patients using machine learning models: a study based on the MIMIC-IV database with external validation from Yunnan University Affiliated Hospital
Authors
Hualei Dai
Yingxia Guan
Zhi-gang Yang (ORCID: https://orcid.org/0009-0006-3521-3948)
Prediction of in-hospital mortality risk in cardiac arrest patients using machine learning models: a study based on the MIMIC-IV database with external validation from Yunnan University Affiliated Hospital
Hualei Dai, Yingxia Guan, Zhi-gang Yang, Siming Tao et al.
Journal
BMC Medical Informatics and Decision Making
Topics
Cardiac Arrest and Resuscitation
article
Prediction of in-hospital mortality risk in cardiac arrest patients using machine learning models: a study based on the MIMIC-IV database with external validation from Yunnan University Affiliated Hospital
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Prediction of in-hospital mortality risk in cardiac arrest patients using machine learning models: a study based on the MIMIC-IV database with external validation from Yunnan University Affiliated Hospital — Hualei Dai, Yingxia Guan, et al. · BMC Medical Informatics and Decision Making (2026) | TGRS Research Map | TGRS