Prediction of In-Hospital Mortality in Non-ST-Segment Elevation Myocardial Infarction, Based on Interpretable Machine Learning

• Published in: Applied sciences Vol. 15; no. 8; p. 4226
• Main Authors: Cao, Mengru, Li, Chunhui
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2025
• Subjects: Accuracy; Acute coronary syndromes; Algorithms; Analysis; Cholesterol; Data mining; Decision making; Decision trees; Disease; Enzymes; Heart attack; Heart attacks; Hemoglobin; Hospitalization; Hospitals; in-hospital mortality; Kinases; Length of stay; Machine learning; Medical advice systems; Missing data; Mortality; non-ST-elevation myocardial infarction; Patient outcomes; Patients; prediction model; Sampling techniques; Shapley additive explanations; Structured Query Language-SQL; Support vector machines; Taiwan; Variables; Taiwan

This study sought to establish machine learning models for forecasting in-hospital mortality in non-ST-segment elevation myocardial infarction (NSTEMI) patients, and focused on model interpretability using Shapley additive explanations (SHAP). Data were gathered from the Medical Information Mart for...