Predicting fall risk in elderly ındividuals: a comparative analysis of machine learning models using patient characteristics, functional balance tests and computerized dynamic posturography
Advanced balance systems are not always necessary to assess fall risk. Instead, fall risk can be effectively determined using simple balance tests, co-morbidities, and patient characteristics in machine learning.
Authors
- Emre Söylemez (ORCID: https://orcid.org/0000-0002-7554-3048)
- Suna Tokgöz-Yılmaz (ORCID: https://orcid.org/0000-0002-4656-099X)
Institutions
- Ankara University (TR)
- Karabük University (TR)
Publication Details
- Journal
- The Journal of Laryngology & Otology
- Published
- 2024-11-11
- DOI
- https://doi.org/10.1017/s0022215124002160
- Citations
- 4
- Primary Topic
- Balance, Gait, and Falls Prevention
- Type
- article
- Field-Weighted Citation Impact
- 4.58