Article

Generating synthetic aging trajectories with a weighted network model using cross-sectional data

2020-02-14

Abstract excerpt

<h4>ABSTRACT</h4> We develop a computational model of human aging that generates individual health trajectories with a set of observed health attributes. Our model consists of a network of interacting health attributes that stochastically damage with age to form health deficits, leading to eventual mortality. We train and test the model for two different cross-sectional observational aging studies that include si...

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Literature Corpus work: b83c96ec-4961-5854-8743-dcf35ef8958a
DOI: 10.1101/2020.02.14.949560

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