Variable importance evaluation with personalized odds ratio for machine learning model interpretability with applications to electronic health records‐based mortality prediction

• Published in: Statistics in medicine Vol. 42; no. 6; pp. 761 - 780
• Main Authors: Yu, Duo, Wu, Hulin
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 15.03.2023; Wiley Subscription Services, Inc
• Subjects: Electronic health records; interpretable machine learning; Machine learning; predictive modeling; variable importance; variable importance; electronic health records; predictive modeling; interpretable machine learning

The interpretability of machine learning models, even though with an excellent prediction performance, remains a challenge in practical applications. The model interpretability and variable importance for well‐performed supervised machine learning models are investigated in this study. With the comm...