Predicting progression to dementia with “comprehensive visual rating scale” and machine learning algorithms

Predicting progression to dementia with “comprehensive visual rating scale” and machine learning algorithms

Background and ObjectiveIdentifying biomarkers for predicting progression to dementia in patients with mild cognitive impairment (MCI) is crucial. To this end, the comprehensive visual rating scale (CVRS), which is based on magnetic resonance imaging (MRI), was developed for the assessment of struct...

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Bibliographic Details
Main Authors: Chaeyoon Park, Jae-Won Jang, Gihun Joo, Yeshin Kim, Seongheon Kim, Gihwan Byeon, Sang Won Park, Payam Hosseinzadeh Kasani, Sujin Yum, Jung-Min Pyun, Young Ho Park, Jae-Sung Lim, Young Chul Youn, Hyun-Soo Choi, Chihyun Park, Hyeonseung Im, SangYun Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Neurology
Subjects:
mild cognition impairment
Alzheimer's Disease
brain MRI
machine learning
visual rating scale
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.906257/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2022.906257/full

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