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AgeTopicModels  

Inferring Age-Dependent Disease Topic from Diagnosis Data
View on CRAN: Click here


Download and install AgeTopicModels package within the R console
Install from CRAN:
install.packages("AgeTopicModels")

Install from Github:
library("remotes")
install_github("cran/AgeTopicModels")

Install by package version:
library("remotes")
install_version("AgeTopicModels", "0.1.0")



Attach the package and use:
library("AgeTopicModels")
Maintained by
Xilin Jiang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-21
Latest Update: 2025-10-21
Description:
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>.
How to cite:
Xilin Jiang (2025). AgeTopicModels: Inferring Age-Dependent Disease Topic from Diagnosis Data. R package version 0.1.0, https://cran.r-project.org/web/packages/AgeTopicModels. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.1.0 (2025-10-21 19:50)
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