Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review.

ABSTRACT:

Objective

Alzheimer disease (AD) is the most common cause of dementia, a syndrome characterized by cognitive impairment severe enough to interfere with activities of daily life. We aimed to conduct a systematic literature review (SLR) of studies that applied machine learning (ML) methods to clinical data derived from electronic health records in order to model risk for progression of AD dementia.

Materials and methods

We searched for articles published between January 1, 2010, and May 31, 2020, in PubMed, Scopus, ScienceDirect, IEEE Explore Digital Library, Association for Computing Machinery Digital Library, and arXiv. We used predefined criteria to select relevant articles and summarized them according to key components of ML analysis such as data characteristics, computat

SUBMITTER: Kumar S 

PROVIDER: S-EPMC8327375 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature