British journal of clinical pharmacologyHumansMachine LearningDrug-Related Side Effects and Adverse ReactionsAlgorithmsAmbulatory Care
Machine learning methods for predicting adverse drug events: A systematic review.
Niaz Chalabianloo, Fatemeh Ahmadi, Mohammad Ali Omrani, Sheikh S Abdullah, Neda Rostamzadeh, Atefeh Jafari, Lujain Izzedin, Kamran Sedig, Flory T Muanda
Published: 202610.1002/bcp.70377
Abstract
Predicting adverse drug events (ADEs) in outpatient settings is crucial for improving medication safety, identifying high-risk patients and reducing health-care costs. While traditional methods struggle with the complexity of health-care data, machin…
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