| Autor: |
Yannik Glaser, John Shepherd, Lambert Leong, Thomas Wolfgruber, Li-Yung Lui, Peter Sadowski, Steven R. Cummings |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Communications Medicine, Vol 2, Iss 1, Pp 1-12 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2730-664X |
| DOI: |
10.1038/s43856-022-00166-9 |
| Popis: |
Glaser et al. develop a deep learning system to predict all-cause mortality from total-body DXA scans. Their best predictive model integrates longitudinal body composition data with traditional mortality risk factors. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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Full text from SpringerLink