Cargando…
XGBoost based machine learning approach to predict the risk of fall in older adults using gait outcomes
This study aimed to identify the optimal features of gait parameters to predict the fall risk level in older adults. The study included 746 older adults (age: 63–89 years). Gait tests (20 m walkway) included speed modification (slower, preferred, and faster-walking) while wearing the inertial measur...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190134/ https://www.ncbi.nlm.nih.gov/pubmed/34108595 http://dx.doi.org/10.1038/s41598-021-91797-w |