About one-third of persons over 65 are subject to at least one fall during a year, and many of them are subjected to health, psychological and financial consequences. A requirement to improve the effectiveness of preventive interventions is to timely identify subjects at higher risk. In this work we introduce the Farseeing Fall Risk Assessment Tool (FRAT-up), a software tool for evaluating the fall risk of a subject, based on known risk factors. The tool is based on probabilistic rules, generated automatically from a light ontology capturing the scientific findings about risk factors. FRAT-up has been tested on the InCHIANTI dataset, showing performances comparable with state-of-the-art tools.
Luca Cattelani, Federico Chesani, Pierpaolo Palumbo, Luca Palmerini, Stefania Bandinelli, Clemens Becker, et al. (2014). FRAT-Up, a Rule-Based System Evaluating Fall Risk in the Elderly. New York, NY : IEEE [10.1109/CBMS.2014.35].
FRAT-Up, a Rule-Based System Evaluating Fall Risk in the Elderly
CATTELANI, LUCA;CHESANI, FEDERICO;PALUMBO, PIERPAOLO;PALMERINI, LUCA;CHIARI, LORENZO
2014
Abstract
About one-third of persons over 65 are subject to at least one fall during a year, and many of them are subjected to health, psychological and financial consequences. A requirement to improve the effectiveness of preventive interventions is to timely identify subjects at higher risk. In this work we introduce the Farseeing Fall Risk Assessment Tool (FRAT-up), a software tool for evaluating the fall risk of a subject, based on known risk factors. The tool is based on probabilistic rules, generated automatically from a light ontology capturing the scientific findings about risk factors. FRAT-up has been tested on the InCHIANTI dataset, showing performances comparable with state-of-the-art tools.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
