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Comparison of Machine Learning Models to Predict Risk of Falling in Osteoporosis Elderly Cover

Comparison of Machine Learning Models to Predict Risk of Falling in Osteoporosis Elderly

Foundations of Computing and Decision Sciences
Volume 45 (2020): Issue 2 (June 2020)
By: German Cuaya-Simbro,  Alberto-Isaac Perez-Sanpablo,  Angélica Muñoz-Meléndez,  Ivett Quiñones Uriostegui,  Eduardo-F. Morales-Manzanares and  Lidia Nuñez-Carrera  
Open Access
|Jun 2020

Authors

German Cuaya-Simbro

Higher Technological Institute of the East of State of Hidalgo, Apan Hidalgo

Alberto-Isaac Perez-Sanpablo

National Rehabilitation Institute, Mexico City, Mexico

Angélica Muñoz-Meléndez

National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico

Ivett Quiñones Uriostegui

National Rehabilitation Institute, Mexico City, Mexico

Eduardo-F. Morales-Manzanares

National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico

Lidia Nuñez-Carrera

National Rehabilitation Institute, Mexico City, Mexico
DOI: https://doi.org/10.2478/fcds-2020-0005 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356
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Language: English
Page range: 66 - 77
Submitted on: Sep 24, 2019
Accepted on: Apr 2, 2020
Published on: Jun 29, 2020
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
GaitRite data,
Prognosis falls,
Computational methods,
Osteoporosis
Related subjects:
Computer sciences,
Artificial intelligence,
Software development

© 2020 German Cuaya-Simbro, Alberto-Isaac Perez-Sanpablo, Angélica Muñoz-Meléndez, Ivett Quiñones Uriostegui, Eduardo-F. Morales-Manzanares, Lidia Nuñez-Carrera, published by Poznan University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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