Balancing Clinical and Pathologic Relevence in the Machine Learning Diagnosis of Epilepsy

The application of machine learning to epilepsy can be used both to develop clinically useful computer-aided diagnostic tools, and to reveal pathologically relevant insights into the disease. Such studies most frequently use neurologically normal patients as the control group to maximize the patholo...

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Detalhes bibliográficos
Main Authors: Kerr, Wesley T., Cho, Andrew Y., Anderson, Ariana, Douglas, Pamela K., Lau, Edward P., Hwang, Eric S., Raman, Kaavya R., Trefler, Aaron, Cohen, Mark S., Nguyen, Stefan T., Reddy, Navya M., Silverman, Daniel H.
Formato: Artigo
Idioma:Inglês
Publicado em: 2013
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4188528/
https://ncbi.nlm.nih.gov/pubmed/25302313
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/PRNI.2013.31
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