Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a s...
Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review
About this item
Full title
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Publisher
United States: Oxford University Press
Journal title
Language
English
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Publisher
United States: Oxford University Press
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Contents
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 healt...
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Full title
Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review
Authors, Artists and Contributors
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8327375
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8327375
Other Identifiers
ISSN
2574-2531
E-ISSN
2574-2531
DOI
10.1093/jamiaopen/ooab052
