Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates Through Natural Language Processing and Machine Learning.

Objective: We describe the development and evaluation of a system that uses machine learning and natural language processing techniques to identify potential candidates for surgical intervention for drug-resistant pediatric epilepsy. The data are comprised of free-text clinical notes extracted from...

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Publicado en:	Biomedical Informatics Insights no. 8; pp. 11 - 19
Autores principales:	Bretonnel Cohen, Kevin, Glass, Benjamin, Greiner, Hansel M., Holland-Bouley, Katherine, Standridge, Shannon, Arya, Ravindra, Faist, Robert, Morita, Diego, Mangano, Francesco, Connolly, Brian, Glauser, Tracy, Pestian, John
Formato:	research tables/charts Journal Article
Publicado:	Sage Publications Inc. 2016
Acceso en línea:	Ver este registro en EBSCOhost