This paper is in the following e-collection/theme issue:

Cognitive Training for the Elderly (117) Natural Language Processing (805) Dementia and Cognitive Decline (597) Machine Learning (1757) Diagnostic Tools in Mental Health (283) Aging in Place (334) Big Data Analytics for Elder Care (28) Memory (47)

Published on in Vol 5, No 1 (2022): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28333, first published .
Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach

Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach

Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach

Authors of this article:

Andrea Ferrario1, 2 Author Orcid Image ;   Minxia Luo3, 4 Author Orcid Image ;   Angelina J Polsinelli5 Author Orcid Image ;   Suzanne A Moseley6 Author Orcid Image ;   Matthias R Mehl7 Author Orcid Image ;   Kristina Yordanova8 Author Orcid Image ;   Mike Martin3, 4 Author Orcid Image ;   Burcu Demiray3, 4 Author Orcid Image
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#NLP "Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A… https://t.co/vJvKl5nOpd

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#NLP "Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A… https://t.co/5DhM0BSg75

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