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

Machine Learning (1501) Clinical Information and Decision Making (1434) Big Data Analytics for Elder Care (23) Falls Prevention in the Elderly (72) Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics (22) Frailty Detection, Assessment and Prediction (30)

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 Tarekegn1 Author Orcid Image ;   Fulvio Ricceri2, 3 Author Orcid Image ;   Giuseppe Costa2, 3 Author Orcid Image ;   Elisa Ferracin3 Author Orcid Image ;   Mario Giacobini4 Author Orcid Image
Article Authors Cited by (47) Tweetations (7) 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, Italy

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

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

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

Corresponding Author: