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

Machine Learning (1501) Decision Support for Health Professionals (1210) Electronic Health Records (1068)

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 (2) Tweetations (2) Metrics

Journals

  1. van der Ploeg T, Gobbens R, Salem B. Bayesian Techniques in Predicting Frailty among Community-Dwelling Older Adults in the Netherlands. Archives of Gerontology and Geriatrics 2023;105:104836 View
  2. van der Ploeg T, Schalk R, Gobbens R. External Validation of Models for Predicting Disability in Community-Dwelling Older People in the Netherlands: A Comparative Study. Clinical Interventions in Aging 2023;Volume 18:1873 View