This paper is in the following e-collection/theme issue:

Machine Learning (960) Clinical Information and Decision Making (861) Big Data Analytics for Elder Care (12) Falls Prevention in the Elderly (53) Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics (13) Frailty Detection, Assessment and Prediction (14)

Published on in Vol 8 , No 6 (2020) :June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16678, first published .
Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches

Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches

Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches

Authors of this article:

Adane Tarekegn 1 Author Orcid Image ;   Fulvio Ricceri 2, 3 Author Orcid Image ;   Giuseppe Costa 2, 3 Author Orcid Image ;   Elisa Ferracin 3 Author Orcid Image ;   Mario Giacobini 4 Author Orcid Image
Article Authors Cited by (4) Tweetations (8) Metrics
Adane Tarekegn 1 , MSc ;   Fulvio Ricceri 2, 3 , PhD ;   Giuseppe Costa 2, 3 , MPH, MD ;   Elisa Ferracin 3 , BSc ;   Mario Giacobini 4 , PhD

1 Modeling and Data Science, Department of Mathematics , University of Turin , Turin , IT

2 Department of Clinical and Biological Sciences , University of Turin , Turin , IT

3 Unit of Epidemiology , Regional Health Service, Local Health Unit Torino 3 , Turin , IT

4 Data Analysis and Modeling Unit , Department of Veterinary Sciences , University of Turin , Turin , IT

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