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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Detalles Bibliográficos
Autores principales: Tikka, Sai Krishna, Singh, Bikesh Kumar, Nizamie, S. Haque, Garg, Shobit, Mandal, Sunandan, Thakur, Kavita, Singh, Lokesh Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Original Article (Marfatia Award)
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368447/
https://www.ncbi.nlm.nih.gov/pubmed/32773870
http://dx.doi.org/10.4103/psychiatry.IndianJPsychiatry_91_20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368447/
https://www.ncbi.nlm.nih.gov/pubmed/32773870
http://dx.doi.org/10.4103/psychiatry.IndianJPsychiatry_91_20

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