Incorporating repeated measurements into prediction models in the critical care setting: a framework, systematic review and meta-analysis.

ABSTRACT: BACKGROUND:The incorporation of repeated measurements into multivariable prediction research may greatly enhance predictive performance. However, the methodological possibilities vary widely and a structured overview of the possible and utilized approaches lacks. Therefore, we [1] propose a structured framework for these approaches, [2] determine what methods are currently used to incorporate repeated measurements in prediction research in the critical care setting and, where possible, [3] assess the added discriminative value of incorporating repeated measurements. METHODS:The proposed framework consists of three domains: the observation window (static or dynamic), the processing of the raw data (raw data modelling, feature extraction and reduction) and the type of modelling. A systematic

SUBMITTER: Plate JDJ 

PROVIDER: S-EPMC6815391 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature