Bayesian classification of falls risk

Falls prevention efforts for older adults have become increasingly important and are now a significant health research effort. Unintentional falls are a leading cause of injury to those over 65 years of age and have significant societal and economic impacts Fabre et al. (2010). One of the current trends in health informatics is the use of machine learning to predict adverse outcomes Ravi et al. (2017), Andreu-Perez et al. (2015). Prior research has shown that machine learning can be used to analyze gait and classify older adults as a faller or non-faller, where a faller has a past history of falling Howcroft et al.
Source: Gait and Posture - Category: Orthopaedics Authors: Source Type: research