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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

He et al [24] applied spectral clustering to EHRs of patients with AD, discerning 4 subtypes with significant demographic, mortality, and medication use differences. Tang et al [25] analyzed comorbidity patterns in EHRs of patients with AD, revealing sex-dependent variations. In another study, Tang et al [26] used EHRs with knowledge networks to predict AD onset and identify sex-specific genetic markers.

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

Correction: Auricular Acupressure Versus an Intermittent Low-Carbohydrate Diet in Children With Overweight or Obesity With Gastric-Heat and Dampness-Obstruction Syndrome: Protocol for a Randomized Controlled Trial

Correction: Auricular Acupressure Versus an Intermittent Low-Carbohydrate Diet in Children With Overweight or Obesity With Gastric-Heat and Dampness-Obstruction Syndrome: Protocol for a Randomized Controlled Trial

*these authors contributed equally An equal contribution footnote has also been added for authors Wen Sun and Jingwei He. In addition, under “Participant Timeline in Methods”, in Table 1, the entries for Auricular acupressure at t1 1 month and t2 3 months, and Intermittent carbohydrate restriction diet at t1 1 month have been changed from: “N/A” to: “✓”.

Wen Sun, Jingwei He, Wenqin Wang, Chen Lu, Yating Lin, Yalan Dou, Weili Yan, Jian Yu

JMIR Res Protoc 2025;14:e74014