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Screening for Early-Stage Alzheimer’s Disease Using Optimized Feature Sets and Machine Learning

BACKGROUND: Detecting early-stage Alzheimer’s disease in clinical practice is difficult due to a lack of efficient and easily administered cognitive assessments that are sensitive to very mild impairment, a likely contributor to the high rate of undetected dementia. OBJECTIVE: We aim to identify gro...

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Bibliographische Detailangaben
Veröffentlicht in:J Alzheimers Dis
Hauptverfasser: Kleiman, Michael J., Barenholtz, Elan, Galvin, James E.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2021
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8324324/
https://ncbi.nlm.nih.gov/pubmed/33780367
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3233/JAD-201377
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