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

ABSTRACT:

Background

Modern modeling techniques may potentially provide more accurate predictions of dichotomous outcomes than classical techniques.

Objective

In this study, we aimed to examine the predictive performance of eight modeling techniques to predict mortality by frailty.

Methods

We performed a longitudinal study with a 7-year follow-up. The sample consisted of 479 Dutch community-dwelling people, aged 75 years and older. Frailty was assessed with the Tilburg Frailty Indicator (TFI), a self-report questionnaire. This questionnaire consists of eight physical, four psychological, and three social frailty components. The municipality of Roosendaal, a city in the Netherlands, provided the mortality dates. We compared modeling techniques, such as support vector machine (SV

SUBMITTER: van der Ploeg T 

PROVIDER: S-EPMC8992962 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature