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cff-version: 1.2.0
message: 'To cite package "AgeTopicModels" in publications use:'
type: software
license: MIT
title: 'AgeTopicModels: Inferring Age-Dependent Disease Topic from Diagnosis Data'
version: 0.3.0
doi: 10.32614/CRAN.package.AgeTopicModels
abstract: 'We propose an age-dependent topic modelling (ATM) model, providing a low-rank
  representation of longitudinal records of hundreds of distinct diseases in large
  electronic health record data sets. The model assigns to each individual topic weights
  for several disease topics; each disease topic reflects a set of diseases that tend
  to co-occur as a function of age, quantified by age-dependent topic loadings for
  each disease. The model assumes that for each disease diagnosis, a topic is sampled
  based on the individual’s topic weights (which sum to 1 across topics, for a given
  individual), and a disease is sampled based on the individual’s age and the age-dependent
  topic loadings (which sum to 1 across diseases, for a given topic at a given age).
  The model generalises the Latent Dirichlet Allocation (LDA) model by allowing topic
  loadings for each topic to vary with age. References: Jiang (2023) <https://doi.org/10.1038/s41588-023-01522-8>.'
authors:
- family-names: Jiang
  given-names: Xilin
  email: jiangxilin1@gmail.com
  orcid: https://orcid.org/0000-0001-6773-9182
repository: https://xilin-jiang.r-universe.dev
commit: 78cbce78d9a57fb36cdf72840d6c6decba707354
date-released: '2026-02-28'
contact:
- family-names: Jiang
  given-names: Xilin
  email: jiangxilin1@gmail.com
  orcid: https://orcid.org/0000-0001-6773-9182