Machine Learning Techniques Applied to the Development of a Fall Risk Index for Older Adults-Reference-Cited by-同舟云学术

Machine Learning Techniques Applied to the Development of a Fall Risk Index for Older Adults

Author:

Millet Antoine¹,Madrid Alicia²,Alonso-Weber Juan M.²,Rodríguez-Mañas Leocadio³^ORCID,Pérez-Rodrá-Guez Rodrigo⁴

Affiliation:

1. Biomedical Research Foundation, Getafe University Hospital, Getafe, Spain

2. Department of Computer Science, University Carlos III of Madrid, Leganés, Spain

3. Geriatrics Service, Getafe University Hospital, Getafe, Spain

4. Intelligent Robotics Laboratory, Rey Juan Carlos University, Fuenlabrada, Spain

Funder

Public Spanish Research Funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference72 articles.

1. A multifactorial falls risk prediction model for hospitalized older adults;hosseini;Proc 36th Annu Int Conf IEEE Eng Med Biol Soc,2014

5. Text Mining: The state of the art and the challenges;tan;Proc Workshop Knowl Disocovery Adv Databases (PAKDD),1999

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