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

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

Abstract 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-we...

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Autores principales: Timothy V. Pyrkov, Konstantin Slipensky, Mikhail Barg, Alexey Kondrashin, Boris Zhurov, Alexander Zenin, Mikhail Pyatnitskiy, Leonid Menshikov, Sergei Markov, Peter O. Fedichev
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/b81dc284f30544e6a57682636f29adbf
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