Differentiating Alzheimer's disease from mild cognitive impairment: a quick screening tool based on machine learning.

ABSTRACT:

Background

Alzheimer's disease (AD) is a neurodegenerative disorder characterised by cognitive decline, behavioural and psychological symptoms of dementia (BPSD) and impairment of activities of daily living (ADL). Early differentiation of AD from mild cognitive impairment (MCI) is necessary.

Methods

A total of 458 patients newly diagnosed with AD and MCI were included. Eleven batteries were used to evaluate ADL, BPSD and cognitive function (ABC). Machine learning approaches including XGboost, classification and regression tree, Bayes, support vector machines and logical regression were used to build and verify the new tool.

Results

The Alzheimer's Disease Assessment Scale (ADAS-cog) word recognition task showed the best importance in judging AD and MCI, followed by co

SUBMITTER: Lu W 

PROVIDER: S-EPMC10729043 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature