Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection

Abstract Background Electronic health records (EHR) often contain varying levels of missing data. This study aimed to compare different imputation strategies to identify the most appropriate missing data handling approach for predicting central line-associated bloodstream infection (CLABSI) in the p...

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Principais autores:	Shan Gao, Elena Albu, Pieter Stijnen, Frank Rademakers, Veerle Cossey, Yves Debaveye, Christel Janssens, Ben Van Calster, Laure Wynants
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2026-04-01
Serija:	BMC Medical Research Methodology
Teme:	Risk prediction Central line-associated bloodstream infection Dynamic model, missing data Imputation
Online dostop:	https://doi.org/10.1186/s12874-026-02819-y
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