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Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review
2021
JAMIA Open
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,
doi:10.1093/jamiaopen/ooab052
pmid:34350389
pmcid:PMC8327375
fatcat:pbmn7vqnpfg4bnfeadtuxzylwq