Prediction of future aging-related slow gait and its determinants with deep learning and logistic regression.
<h4>Background</h4>Identification of accelerated aging and its biomarkers can lead to more timely therapeutic interventions and decision-making. Therefore, we sought to predict aging-related slow gait, a known predictor of accelerated aging, and its determinants.<h4>Methods</h4&...
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| Main Authors: | Alison Deatsch, Michael McKenna, Jonathan Palumbo, Qu Tian, Eleanor Simonsick, Luigi Ferrucci, Robert Jeraj, Richard G Spencer |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0325172 |
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