Development of a classifier for gambling disorder based on functional connections between brain regions

AIM: Recently, a machine‐learning (ML) technique has been used to create generalizable classifiers for psychiatric disorders based on information of functional connections (FCs) between brain regions at resting state. These classifiers predict diagnostic labels by a weighted linear sum (WLS) of the...

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Detalles Bibliográficos
Autores principales: Takeuchi, Hideaki, Yahata, Noriaki, Lisi, Giuseppe, Tsurumi, Kosuke, Yoshihara, Yujiro, Kawada, Ryosaku, Murao, Takuro, Mizuta, Hiroto, Yokomoto, Tatsunori, Miyagi, Takashi, Nakagami, Yukako, Yoshioka, Toshinori, Yoshimoto, Junichiro, Kawato, Mitsuo, Murai, Toshiya, Morimoto, Jun, Takahashi, Hidehiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2022
Materias:
Regular Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322453/
https://www.ncbi.nlm.nih.gov/pubmed/35279904
http://dx.doi.org/10.1111/pcn.13350

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322453/
https://www.ncbi.nlm.nih.gov/pubmed/35279904
http://dx.doi.org/10.1111/pcn.13350

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