Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults: Study of Domain Adaptation and Deep Learning.
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| Title: | Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults: Study of Domain Adaptation and Deep Learning. |
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| 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., Pang Y; School of Information, Florida State University, Tallahassee, FL, United States., Zhang S; Division of Geriatrics and Palliative Medicine, Weill Cornell Medicine, New York, NY, United States., Subedi R; Department of Computer Science, Florida State University, Tallahassee, FL, United States., Lustria ML; School of Information, Florida State University, Tallahassee, FL, United States., Charness N; Department of Psychology, Florida State University, Tallahassee, FL, United States., Boot W; Division of Geriatrics and Palliative Medicine, Weill Cornell Medicine, New York, NY, United States. |
| Source: | JMIR aging [JMIR Aging] 2024 Sep 16; Vol. 7, pp. e53793. Date of Electronic Publication: 2024 Sep 16. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101740387 Publication Model: Electronic Cited Medium: Internet ISSN: 2561-7605 (Electronic) Linking ISSN: 25617605 NLM ISO Abbreviation: JMIR Aging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2561-7605 |
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| DOI: | 10.2196/53793 |
