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...

Descripción completa

Detalles Bibliográficos
Autores principales: Farrell, Spencer, Mitnitski, Arnold, Rockwood, Kenneth, Rutenberg, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670406/
https://www.ncbi.nlm.nih.gov/pubmed/33199733
http://dx.doi.org/10.1038/s41598-020-76827-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670406/
https://www.ncbi.nlm.nih.gov/pubmed/33199733
http://dx.doi.org/10.1038/s41598-020-76827-3

Ejemplares similares