Ensemble machine learning methods in screening electronic health records: A scoping review.

Christophe A T StevensAlexander Rm LyonsKanika I DharmayatAlireza MahaniKausik K RayAntonio J Vallejo-VazMansour Ta Sharabiani

Published in: Digital health (2023)

Our work highlights the importance of deriving and comparing the performances of different types of ensemble machine learning models when screening electronic health records and underscores the need for more comprehensive reporting of machine learning methodologies employed in clinical research.

Keyphrases

electronic health record
machine learning
adverse drug
clinical decision support
artificial intelligence
big data
deep learning
neural network
emergency department
drug induced