Deep learning based low-cost high-accuracy diagnostic framework for dementia using comprehensive neuropsychological assessment profiles

Deep learning based low-cost high-accuracy diagnostic framework for dementia using comprehensive neuropsychological assessment profiles

Abstract Background The conventional scores of the neuropsychological batteries are not fully optimized for diagnosing dementia despite their variety and abundance of information. To achieve low-cost high-accuracy diagnose performance for dementia using a neuropsychological battery, a novel framewor...

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Bibliographic Details
Main Authors: Hyun-Soo Choi, Jin Yeong Choe, Hanjoo Kim, Ji Won Han, Yeon Kyung Chi, Kayoung Kim, Jongwoo Hong, Taehyun Kim, Tae Hui Kim, Sungroh Yoon, Ki Woong Kim
Format: Article
Language:English
Published: BMC 2018-10-01
Series:BMC Geriatrics
Subjects:
Neuropsychological tests
Alzheimer disease
Dementia
Data mining
Deep learning
Online Access:http://link.springer.com/article/10.1186/s12877-018-0915-z

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http://link.springer.com/article/10.1186/s12877-018-0915-z

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