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

TV Pyrkov, K Slipensky, M Barg, A Kondrashin… - Scientific reports, 2018 - nature.com
Age-related physiological changes in humans are linearly associated with age. Naturally,
linear combinations of physiological measures trained to estimate chronological age have …
被引用次数：123 相关文章

[引用][C] Extracting biological age from biomedical data via deep learning: Too much of a good thing?

TV Pyrkov, B Zhurov, A Zenin, M Pyatnitskiy… - Scientific Reports, 2018 - elibrary.ru
The authors thank their colleagues from Gero K. Avchaciov, A. Tarkhov, D. Shishov, and G.
Getmantsev for extensive help with handling the data and proof-reading of the work. The …

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

TV Pyrkov, K Slipensky, M Barg, A Kondrashin… - Scientific …, 2018 - europepmc.org
Age-related physiological changes in humans are linearly associated with age. Naturally,
linear combinations of physiological measures trained to estimate chronological age have …

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

TV Pyrkov, K Slipensky, M Barg… - Scientific …, 2018 - ui.adsabs.harvard.edu
Age-related physiological changes in humans are linearly associated with age. Naturally,
linear combinations of physiological measures trained to estimate chronological age have …

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

TV Pyrkov, K Slipensky, M Barg… - Scientific …, 2018 - pubmed.ncbi.nlm.nih.gov
Age-related physiological changes in humans are linearly associated with age. Naturally,
linear combinations of physiological measures trained to estimate chronological age have …
[PDF] archive.org

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

T Pyrkov, K Slipensky, M Barg, A Kondrashin, B Zhurov… - scholar.archive.org
Aging-related physiological changes are systemic and, at least in humans, are linearly
associated with age. Therefore, linear combinations of physiological measures trained to …
[HTML] nih.gov

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

TV Pyrkov, K Slipensky, M Barg, A Kondrashin… - Scientific …, 2018 - ncbi.nlm.nih.gov
Age-related physiological changes in humans are linearly associated with age. Naturally,
linear combinations of physiological measures trained to estimate chronological age have …
[PDF] ecplanet.org

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

TV Pyrkov, K Slipensky, M Barg, A Kondrashin… - Scientific …, 2018 - ecplanet.org
Results Deep learning chronological age from physical activity records. The “biological age”
is a quantitative measure of aging-and thus an expected lifespan-based on biological data …
[PDF] ecplanet.org

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

TV Pyrkov, K Slipensky, M Barg, A Kondrashin… - Scientific …, 2018 - ecplanet.org
Results Deep learning chronological age from physical activity records. The “biological age”
is a quantitative measure of aging-and thus an expected lifespan-based on biological data …
[PDF] academia.edu

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

TV Pyrkov, K Slipensky, M Barg, A Kondrashin… - SCIENTIFIC …, 2018 - academia.edu
Results Deep learning chronological age from physical activity records. The “biological age”
is a quantitative measure of aging-and thus an expected lifespan-based on biological data …