Deep learning-based predictions of older adults' adherence to cognitive training to support training efficacy.

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Bibliographic Details
Title: Deep learning-based predictions of older adults' adherence to cognitive training to support training efficacy.
Authors: Singh A; Department of Computer Science, Florida State University, Tallahassee, FL, United States., Chakraborty S; Department of Computer Science, Florida State University, Tallahassee, FL, United States., He Z; School of Information, Florida State University, Tallahassee, FL, United States.; College of Medicine, Florida State University, Tallahassee, FL, United States., Tian S; Department of Statistics, Florida State University, Tallahassee, FL, United States., Zhang S; Department of Psychology, Florida State University, Tallahassee, FL, United States., Lustria MLA; School of Information, Florida State University, Tallahassee, FL, United States., Charness N; Department of Psychology, Florida State University, Tallahassee, FL, United States., Roque NA; Department of Psychology, University of Central Florida, Orlando, FL, United States., Harrell ER; Department of Psychology, The University of Alabama, Tuscaloosa, AL, United States., Boot WR; Department of Psychology, Florida State University, Tallahassee, FL, United States.
Source: Frontiers in psychology [Front Psychol] 2022 Nov 17; Vol. 13, pp. 980778. Date of Electronic Publication: 2022 Nov 17 (Print Publication: 2022).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101550902 Publication Model: eCollection Cited Medium: Print ISSN: 1664-1078 (Print) Linking ISSN: 16641078 NLM ISO Abbreviation: Front Psychol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1664-1078
DOI:10.3389/fpsyg.2022.980778