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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Hlavní autoři: 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.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2013
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Article
On-line přístup: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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