A scoping review of machine learning models to predict risk of falls in elders, without using sensor data

A scoping review of machine learning models to predict risk of falls in elders, without using sensor data

Abstract Objectives This scoping review assesses machine learning (ML) tools that predicted falls, relying on information in health records without using any sensor data. The aim was to assess the available evidence on innovative techniques to improve fall prevention management. Methods Studies were...

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Bibliographic Details
Main Authors: Angelo Capodici, Claudio Fanconi, Catherine Curtin, Alessandro Shapiro, Francesca Noci, Alberto Giannoni, Tina Hernandez-Boussard
Format: Article
Language:English
Published: BMC 2025-05-01
Series:Diagnostic and Prognostic Research
Subjects:
Artificial intelligence
Machine learning
Elders
Falls
Sensorless
Scoping review
Online Access:https://doi.org/10.1186/s41512-025-00190-y
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https://doi.org/10.1186/s41512-025-00190-y

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