Machine learning risk prediction models for medication harm in hospitalised adult patients
Therapeutic Advances in Drug Safety
Published online on January 19, 2026
Abstract
Therapeutic Advances in Drug Safety, Volume 17, January-December 2026.
Background:Medication harm is a significant healthcare challenge in hospitalised adult patients. Machine learning (ML) approaches offer the potential to improve prediction accuracy for medication harm by capturing complex relationships among clinical risk ...
Background:Medication harm is a significant healthcare challenge in hospitalised adult patients. Machine learning (ML) approaches offer the potential to improve prediction accuracy for medication harm by capturing complex relationships among clinical risk ...