Data-driven decision making for the screening of cognitive impairment in primary care: a machine learning approach using data from the ELSA-Brasil study

The systematic assessment of cognitive performance of older people without cognitive complaints is controversial and unfeasible. Identifying individuals at higher risk of cognitive impairment could optimize resource allocation. We aimed to develop and test machine learning models to predict cognitiv...

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Veröffentlicht in:	Brazilian journal of medical and biological research 2023-01, Vol.56 (1), p.e12475-e12475
Hauptverfasser:	Szlejf, C, Batista, A F M, Bertola, L, Lotufo, P A, Benseãor, I M, Chiavegatto Filho, A D P, Suemoto, C K
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Algorithms Artificial intelligence BIOLOGY Cognition Cognition disorders Cognition disorders in old age Cognitive ability Cognitive Dysfunction - diagnosis Cross-Sectional Studies Data mining Decision Making Dementia disorders Diagnosis Humans Learning algorithms Machine Learning MEDICINE, RESEARCH & EXPERIMENTAL Methods Middle Aged Neural networks Neuropsychological tests Prediction models Primary care Primary Health Care Regression analysis Resource allocation Technology application Testing
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