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

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 trai...

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Publicat a:Sci Rep
Autors principals: Farrell, Spencer, Mitnitski, Arnold, Rockwood, Kenneth, Rutenberg, Andrew
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2020
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7670406/
https://ncbi.nlm.nih.gov/pubmed/33199733
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-76827-3
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