Logistic regression modeling to predict sarcopenia frailty among aging adults
Sarcopenia and frailty have been associated with low aging population capacities for exercise and high metabolic instability. To date, the current models merely support one classification with an accuracy of 83%. The models also reflect overfitting dataset complexities in predicting the accuracy and...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
SAI Organization
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/35015/ |
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