Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk. Xilin Jiang et al. Nat Genet 2023 10

From the abstract: " The analysis of longitudinal data from electronic health records (EHRs) has the potential to improve clinical diagnoses and enable personalized medicine, motivating efforts to identify disease subtypes from patient comorbidity information. Here we introduce an age-dependent topic modeling (ATM) method that provides a low-rank representation of longitudinal records of hundreds of distinct diseases in large EHR datasets. " https://phgkb.cdc.gov/PHGKB/phgHome.action?query=Electronic%20health%20records&action=search&Mysubmit=Search