Evaluating the performance of machine learning models for automatic diagnosis of patients with schizophrenia based on a single site dataset of 440 participants

BACKGROUND: Support vector machines (SVMs) based on brain-wise functional connectivity (FC) have been widely adopted for single-subject prediction of patients with schizophrenia, but most of them had small sample size. This study aimed to evaluate the performance of SVMs based on a large single-site...

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Detalles Bibliográficos
Autores principales: Lee, Lung-Hao, Chen, Chang-Hao, Chang, Wan-Chen, Lee, Po-Lei, Shyu, Kuo-Kai, Chen, Mu-Hong, Hsu, Ju-Wei, Bai, Ya-Mei, Su, Tung-Ping, Tu, Pei-Chi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792868/
https://www.ncbi.nlm.nih.gov/pubmed/34937587
http://dx.doi.org/10.1192/j.eurpsy.2021.2248

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792868/
https://www.ncbi.nlm.nih.gov/pubmed/34937587
http://dx.doi.org/10.1192/j.eurpsy.2021.2248

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