Efficient and Explainable Risk Assessments for Imminent Dementia in an Aging Cohort Study

As the aging US population grows, scalable approaches are needed to identify individuals at risk for dementia. Common prediction tools have limited predictive value, involve expensive neuroimaging, or require extensive and repeated cognitive testing. None of these approaches scale to the sizable agi...

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Bibliographic Details
Main Authors:	Althoff, T. (Author), Beebe-Wang, N. (Author), Lee, S.-I (Author), Okeson, A. (Author)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:	aged Aged aging Aging Aging population apolipoprotein E area under the curve Article clinical assessment Clinical assessments cognition cohort analysis Cohort Studies computer model controlled study cross validation dementia Dementia dementia assessment diagnostic accuracy diagnostic test accuracy study disease risk assessment education experimental cognitive test false negative result false positive result feature learning (machine learning) feature selection female Forecasting genotype geriatrics human Humans imminent dementia interpretability lifestyle machine learning major clinical study male mild cognitive impairment Mini Mental State Examination Neurodegenerative diseases neuroimaging Neuroimaging Neuropsychological neuropsychological test Neuropsychological Tests Nonlinear features nuclear magnetic resonance imaging personalized medicine positron emission tomography prediction Prediction tools Predictive performance Predictive values receiver operating characteristic risk assessment Risk assessment Risk Assessment risk prediction Scalable approach Turing machines very elderly
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View Fulltext in Publisher

Efficient and Explainable Risk Assessments for Imminent Dementia in an Aging Cohort Study

Internet

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