Application Value of Machine Learning Method in Measuring Gray Matter Volume of AIDS Patients

BACKGROUND: To investigate the role of gray matter (GM) volume in the identification of HIV-positive patients with HIV-associated neurocognitive impairment (HAND) using a machine learning approach from normal healthy controls. METHODS: Twenty-seven HIV-infected patients and 14 healthy controls were...

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Detalles Bibliográficos
Autores principales: Fu, Danhui, Mo, Kai, Deng, Wenjuan, Zhao, Yang, Ding, QianLin, Hong, Sen, Zhang, Wei, Su, Danke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225908/
https://www.ncbi.nlm.nih.gov/pubmed/35756486
http://dx.doi.org/10.1155/2022/1210002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225908/
https://www.ncbi.nlm.nih.gov/pubmed/35756486
http://dx.doi.org/10.1155/2022/1210002

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