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

Machine Learning (2032) Decision Support for Health Professionals (1510) Electronic Health Records (1295)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31480, first published .
A Comparison of Different Modeling Techniques in Predicting Mortality With the Tilburg Frailty Indicator: Longitudinal Study

A Comparison of Different Modeling Techniques in Predicting Mortality With the Tilburg Frailty Indicator: Longitudinal Study

A Comparison of Different Modeling Techniques in Predicting Mortality With the Tilburg Frailty Indicator: Longitudinal Study

Authors of this article:

Tjeerd van der Ploeg1 Author Orcid Image ;   Robbert Gobbens1, 2, 3 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Tjeerd van der Ploeg   1 , PhD ;   Robbert Gobbens   1, 2, 3 , PhD

1 Faculty of Health, Sports and Social Work, Inholland University of Applied Sciences, Amsterdam, The Netherlands

2 Zonnehuisgroep Amstelland, Amstelveen, The Netherlands

3 Department Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium

Corresponding Author:

  • Tjeerd van der Ploeg, PhD
  • Faculty of Health, Sports and Social Work
  • Inholland University of Applied Sciences
  • De Boelelaan 1109
  • Amsterdam 1081 HV
  • The Netherlands
  • Phone: 31 653519264
  • Email: tvdploeg@quicknet.nl