Identifying and characterizing different stages toward Alzheimer's disease using ordered core features and machine learning.

Sheng, Jinhua; Wang, Bocheng; Zhang, Qiao; Zhou, Rougang; Wang, Luyun; Xin, Yu

Sheng, Jinhua; Wang, Bocheng; Zhang, Qiao; Zhou, Rougang; Wang, Luyun; Xin, Yu.

Afiliação

Sheng J; College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, 310018, China.
Wang B; Key Laboratory of Intelligent Image Analysis for Sensory and Cognitive Health, Ministry of Industry and Information Technology of China, Hangzhou, Zhejiang, 310018, China.
Zhang Q; College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, 310018, China.
Zhou R; Key Laboratory of Intelligent Image Analysis for Sensory and Cognitive Health, Ministry of Industry and Information Technology of China, Hangzhou, Zhejiang, 310018, China.
Wang L; Communication University of Zhejiang, Hangzhou, Zhejiang, 310018, China.
Xin Y; Beijing Hospital, Beijing, 100730, China.

Heliyon ; 7(6): e07287, 2021 Jun.

Article em En | MEDLINE | ID: mdl-34189320

Palavras-chave

Alzheimer's disease (AD); Connectivity network analysis; Human connectome project (HCP); Machine learning; Mild cognitive impairment (MCI); The area under ROC curve (AUC)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Heliyon Ano de publicação: 2021 Tipo de documento: Article

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