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The value of missing information in severity of illness score development
Journal article   Open access   Peer reviewed

The value of missing information in severity of illness score development

Joseph Agor, Osman Y Özaltın, Julie S Ivy, Muge Capan, Ryan Arnold and Santiago Romero
Journal of biomedical informatics, v 97, pp 103255-103255
Sep 2019
DOI: https://doi.org/10.1016/j.jbi.2019.103255
PMID: 31349049
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1016/j.jbi.2019.103255View
Published, Version of Record (VoR)Open Access (Publisher-Specific),  Open

Abstract

Missing data Sepsis Prediction models Severity of illness scores Electronic health records
We aim to investigate the hypothesis that using information about which variables are missing along with appropriate imputation improves the performance of severity of illness scoring systems used to predict critical patient outcomes. We quantify the impact of missing and imputed variables on the performance of prediction models used in the development of a sepsis-related severity of illness scoring system. Electronic health records (EHR) data were compiled from Christiana Care Health System (CCHS) on 119,968 adult patients hospitalized between July 2013 and December 2015. Two outcomes of interest were considered for prediction: (1) first transfer to intensive care unit (ICU) and (2) in-hospital mortality. Five different prediction models were employed. Indicators were utilized in these prediction models to identify when variables were missing and imputed. We observed statistically significant gains in prediction performance when moving from models that did not indicate missing information to those that did. Moreover, this increase was higher in models that use summary variables as predictors compared to those that use all variables. When developing prediction models using longitudinal EHR data, researchers should explore the incorporation of indicators for missing variables along with appropriate imputation.

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11 Record Views
12 citations in Web of Science
13 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
Web of Science research areas
Computer Science, Interdisciplinary Applications
Medical Informatics
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