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Artificial intelligence-based classification of schizophrenia: A high density electroencephalographic and support vector machine study
BACKGROUND: Interview-based schizophrenia (SCZ) diagnostic methods are not completely valid. Moreover, SCZ-the disease entity is very heterogeneous. Supervised-Machine-Learning (sML) application of Artificial-Intelligence holds a tremendous promise in solving these issues. AIMS: To sML-based discrim...
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| Publicado no: | Indian J Psychiatry |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wolters Kluwer - Medknow
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7368447/ https://ncbi.nlm.nih.gov/pubmed/32773870 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4103/psychiatry.IndianJPsychiatry_91_20 |
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