Fall Prediction Using Machine Learning - A Systematic Review |Biomedgrid

The primary objective of this study is to conduct a thorough analysis of fall prediction methods that make use of Machine Learning techniques. In this study, a total of 115 articles are analysed using the Preferred Reporting Items for Systematic Reviews and Meta- Analyses (PRISMA) approach out of which 15 articles, published between 2010-2022, have been shortlisted for a detailed analysis. A six-step process of analysis is summarized in the form of a system overview. We discuss some of the advantages and shortcomings of the underlying machine learning algorithms, used for fall prediction by different researchers.