Ensemble machine learning methods in screening electronic health records: A scoping review
Digital Health2023Vol. 9, pp. 20552076231173225–20552076231173225
Citations Over TimeTop 10% of 2023 papers
Christophe Stevens, Alexander R.M. Lyons, Kanika Dharmayat, Alireza S. Mahani, Kausik K. Ray, Antonio J. Vallejo‐Vaz, Mansour TA Sharabiani
Abstract
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.
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