AgeTopicModels: Inferring Age-Dependent Disease Topic from Diagnosis Data

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) <doi:10.1038/s41588-023-01522-8>.

Version:	0.1.0
Depends:	R (≥ 3.5)
Imports:	dplyr, ggplot2, ggrepel, grDevices, gtools, magrittr, pROC, reshape2, rlang, stats, stringr, tibble, tidyr, utils
Suggests:	testthat (≥ 3.0.0)
Published:	2025-10-21
DOI:	10.32614/CRAN.package.AgeTopicModels (may not be active yet)
Author:	Xilin Jiang [aut, cre]
Maintainer:	Xilin Jiang <jiangxilin1 at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	AgeTopicModels results

Documentation:

Reference manual:

AgeTopicModels.html , AgeTopicModels.pdf

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Package source:	AgeTopicModels_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): AgeTopicModels_0.1.0.tgz, r-oldrel (arm64): AgeTopicModels_0.1.0.tgz, r-release (x86_64): AgeTopicModels_0.1.0.tgz, r-oldrel (x86_64): AgeTopicModels_0.1.0.tgz

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