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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

We computed vocabulary richness using the “entropy” package from R (The R Foundation) [47]. The third domain is grammatical complexity, indicating how complex the grammatical structures are [34,44]. We computed the scores with the syntactic complexity analyzer [48,49] in R. We focused on the measures of clauses and dependent clauses (ie, number of clauses, number of dependent clauses, mean length clause, and dependent clause ratio).

Andrea Ferrario, Minxia Luo, Angelina J Polsinelli, Suzanne A Moseley, Matthias R Mehl, Kristina Yordanova, Mike Martin, Burcu Demiray

JMIR Aging 2022;5(1):e28333