Dataset Information
A study on predicted in-hospital mortality in critically ill patients with coronary heart disease: analysis of the MIMIC-IV database.
Ontology highlight
ABSTRACT:
SUBMITTER: Tao Y
PROVIDER: S-EPMC12822355 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature
Publications
A study on predicted in-hospital mortality in critically ill patients with coronary heart disease: analysis of the MIMIC-IV database.
BMC medical informatics and decision making 20251218 1
OBJECTIVE: The objective of this research was to identify predictors that increase the likelihood of death during hospitalization in critically ill patients with coronary heart disease using a predictive model. METHODS: We gathered clinical information from individuals diagnosed with coronary artery disease in the MIMIC-IV repository. Logistic regression analysis was used to examine the factors. The predictive nomogram was created using R software. Additionally, the model’s accuracy was evaluate ...[more]