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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| Auteurs principaux: | , , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2018
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| Accès en ligne: | https://doaj.org/article/b81dc284f30544e6a57682636f29adbf |
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