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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Bibliografische gegevens
Gepubliceerd in:Biomed Inform Insights
Hoofdauteurs: Cohen, Kevin Bretonnel, Glass, Benjamin, Greiner, Hansel M., Holland-Bouley, Katherine, Standridge, Shannon, Arya, Ravindra, Faist, Robert, Morita, Diego, Mangano, Francesco, Connolly, Brian, Glauser, Tracy, Pestian, John
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Libertas Academica 2016
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Original Research
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4876984/
https://ncbi.nlm.nih.gov/pubmed/27257386
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4137/BII.S38308
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