CareLit · DOI-Nachweis · Zeitschrift für Gerontologie und Geriatrie
Predicting risk of falling in older adults using supervised machine learning: a comparative analysis of model performance
DOI 10.1007/s00391-025-02508-3
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Autor:innenÇekok, F.K.; Alcan, V.
ZeitschriftZeitschrift für Gerontologie und Geriatrie
Ausgabe10/2025
Jahrgang / SeitenJg. 58 · S. 1 bis 7
Kernaussage aus der Literatur
Abstract-Vorschau
IntroductionFalls among older adults are a significant global health concern, often resulting in severe injuries, loss of independence and increased healthcare costs [1]. With the aging population rising, the burden of fall-related morbidity and mortality continues to increase, necessitating effective prevention strategies [2]. Risk of falling is multifactorial, influenced by age-related physiological decline, impai…
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Zitierempfehlung
Çekok, F.K.; Alcan, V (2025) Predicting risk of falling in older adults using supervised machine learning: a comparative analysis of model performance. Zeitschrift für Gerontologie und Geriatrie, 58 (10), 1 bis 7. https://doi.org/10.1007/s00391-025-02508-3
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