| Autor: |
Miles D Witham, Rachel Cooper, Antoneta Granic, Avan A Sayer, Susan J Hillman, Richard M Dodds |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
BMJ Open, Vol 14, Iss 9 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2044-6055 |
| DOI: |
10.1136/bmjopen-2024-085204 |
| Popis: |
Objectives This study aims to determine whether machine learning can identify specific combinations of long-term conditions (LTC) associated with increased sarcopenia risk and hence address an important evidence gap—people with multiple LTC (MLTC) have increased risk of sarcopenia but it has not yet been established whether this is driven by specific combinations of LTC.Design Decision trees were used to identify combinations of LTC associated with increased sarcopenia risk. Participants were classified as being at risk of sarcopenia based on maximum grip strength of |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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