Easy fall risk assessment by estimating the Mini-BES test score

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Sannino:2016:e-Health,

• author = "Giovanna Sannino and Ivanoe {De Falco} and Giuseppe {De Pietro}",
• booktitle = "2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)",
• title = "Easy fall risk assessment by estimating the {Mini-BES} test score",
• year = "2016",
• address = "Munich, Germany",
• month = "14-16 " # sep,
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/HealthCom.2016.7749428",
• size = "5 pages",
• abstract = "The aim of this study is to identify an explicit relationship between life-style and the risk of falling under the form of a mathematical model. Starting from some personal and behavioural information as, e.g., weight, height, age, data about physical activity habits, and concern about falling, the model would easily estimate the score of the Mini-Balance Evaluation Systems (Mini-BES) test. This would make fall risk assessment less invasive, because subjects would not need to undergo the classical Mini-BES test, rather they could estimate it at home by answering some questionnaires. The mathematical model obtained in this study has been tested over a subset of unseen subjects and the results show an average error of 2.74.",
• notes = "Also known as \cite{7749428}",

}

Genetic Programming entries for Giovanna Sannino Ivanoe De Falco Giuseppe De Pietro

Citations