Work

Predicting clinical scores for Alzheimer’s disease based on joint and deep learning

Year: 2021

Type: article

Source: Expert Systems with Applications

DOI: 10.1016/j.eswa.2021.115966

Authors: Baiying Lei, Enmin Liang, Mengya Yang, Peng Yang, Feng Zhou, Ee-Leng Tan, Yi Lei, Chuan-Ming Liu, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang

Institutions: Shenzhen University, Shenzhen University Health Science Center, University of Michigan–Dearborn, Nanyang Technological University, National Taipei University of Technology, Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology

Language: English

Topic: Dementia and Cognitive Impairment Research

Subfield: Psychiatry and Mental health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Shenzhen Fundamental Research Program, Guangdong Provincial Pearl River Talents Program, Shenzhen Peacock Plan

Awards: G1321141568, G1441013001, G1501373149, G232180537, G2428227896, G2793562968, G3088211814, G3214520391, 影像基因的深度学习应用于阿尔茨海默病诊断和预测的多时间点研究, G4738230985, G5104505190, G7151297541, G7764128604

OpenAlex ID: W3204772083

FWCI: 11.68

Cites: 58

Cited by: 101

Related to: 10