PCV50 Automatic Classification of Electronic Health Records for a Value-Based Program through Machine Learning
Loading...
Date
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
This study presents a comparative assessment of supervised machine learning (ML) methods to capture outcomes and patients' characteristics from electronic health records (EHR). We explored automatic classification of free-text data from EHRs to support a value-based program.
Description
Keywords
Citation
B. Zanotto, A.P. Etges, A. Dal Bosco, E.G. Cortes, R. Ruschel, S.O. Martins, A.C. Souza, C. Valiense, F. Viegas, S. Canuto, W. Luiz, R. Vieira, M. Gonçalves, C.A. Polanczyk,
PCV50 Automatic Classification of Electronic Health Records for a Value-Based Program through Machine Learning,
Value in Health,Volume 24, Supplement 1, 2021, Page S76,
ISSN 1098-3015, https://doi.org/10.1016/j.jval.2021.04.389.
(https://www.sciencedirect.com/science/article/pii/S1098301521006069)