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Videoconference-Delivered Acceptance and Commitment Therapy for Family Caregivers of People With Dementia: Pilot Randomized Controlled Trial

Videoconference-Delivered Acceptance and Commitment Therapy for Family Caregivers of People With Dementia: Pilot Randomized Controlled Trial

To test the equivalence of groups (ACT and control groups) in participants’ demographic and caregiving-related characteristics, as well as outcome measures in the pretest, the chi-square test (or Fisher exact test when the assumptions for the chi-square were not satisfied) was used for categorical variables, and the 2-sample t test was used for continuous variables. An intent-to-treat approach was used for all outcome analyses (ie, data from all participants were analyzed as randomized).

Areum Han, Robert Oster, Hon Yuen, Jeremy Jenkins, Jessica Hawkins, Lauren Edwards

JMIR Form Res 2025;9:e67545

Unsupervised Deep Learning of Electronic Health Records to Characterize Heterogeneity Across Alzheimer Disease and Related Dementias: Cross-Sectional Study

Unsupervised Deep Learning of Electronic Health Records to Characterize Heterogeneity Across Alzheimer Disease and Related Dementias: Cross-Sectional Study

Alexander et al [21] found the following 5 patient subtypes: mental health, nontypical AD, typical AD, CVD, and men with cancer. They later identified a consistent subtype with early-onset AD, predominantly female participants, with a faster rate of progression using various machine learning methods [22]. Landi et al [23] used unsupervised deep learning to encode EHRs with temporal information, identifying early-onset AD, later-onset AD with mild comorbidities, and typical-onset AD with moderate symptoms.

Matthew West, You Cheng, Yingnan He, Yu Leng, Colin Magdamo, Bradley T Hyman, John R Dickson, Alberto Serrano-Pozo, Deborah Blacker, Sudeshna Das

JMIR Aging 2025;8:e65178