Extracting biological age from biomedical data via deep learning: too much of a good thing?

Age-related physiological changes in humans are linearly associated with age. Naturally, linear combinations of physiological measures trained to estimate chronological age have recently emerged as a practical way to quantify aging in the form of biological age. In this work, we used one-week long p...

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Detalles Bibliográficos
Autores principales: Pyrkov, Timothy V., Slipensky, Konstantin, Barg, Mikhail, Kondrashin, Alexey, Zhurov, Boris, Zenin, Alexander, Pyatnitskiy, Mikhail, Menshikov, Leonid, Markov, Sergei, Fedichev, Peter O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980076/
https://www.ncbi.nlm.nih.gov/pubmed/29581467
http://dx.doi.org/10.1038/s41598-018-23534-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980076/
https://www.ncbi.nlm.nih.gov/pubmed/29581467
http://dx.doi.org/10.1038/s41598-018-23534-9

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