Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Identifying common and distinct subcortical volumetric abnormalities in 3 major psychiatric disorders: a single-site analysis of 640 participants
por: Tu, Pei-Chi, et al.
Publicado: (2022) -
Re‐evaluation of pectin (E 440i) and amidated pectin (E 440ii) as food additives
por: Mortensen, Alicja, et al.
Publicado: (2017) -
Reduced synchronized brain activity in schizophrenia during viewing of comedy movies
por: Tu, Pei-Chi, et al.
Publicado: (2019) -
S8 – S47 and O50 – O440
Publicado: (2006) -
Role of FOXC1 in regulating APSCs self-renewal via STI-1/PrP(C) signaling
por: Lee, Yi-Hui, et al.
Publicado: (2019)