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.

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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
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article

Predicting fall risk in elderly ındividuals: a comparative analysis of machine learning models using patient characteristics, functional balance tests and computerized dynamic posturography

Emre Söylemez, Suna Tokgöz-Yılmaz
4 citations
The Journal of Laryngology & Otology
Balance, Gait, and Falls Prevention
4.58
article

Predicting fall risk in elderly ındividuals: a comparative analysis of machine learning models using patient characteristics, functional balance tests and computerized dynamic posturography

Emre Söylemez, Suna Tokgöz-Yılmaz
article en
4 citations

Abstract

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.

The Journal of Laryngology & OtologyVol. 139(6)
Ankara University (TR), Karabük University (TR)
Openalex Percentile: Top 5%
Balance, Gait, and Falls Prevention
4.58
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