Using Mixture Modeling to Construct Subgroups of Cognitive Aging in the Wisconsin Longitudinal Study.

Sara M Moorman Emily A Greenfield Kyle Carr

Published in: The journals of gerontology. Series B, Psychological sciences and social sciences (2021)

Results demonstrate the utility of using mixture modeling to identify qualitatively and quantitatively distinct subgroups of cognitive aging among older adults. We discuss the implications of these results for the continued use of population health data to advance research on cognitive aging.

Keyphrases

electronic health record
big data
machine learning
artificial intelligence
deep learning