Early warning score validation methodologies and performance metrics: a systematic review.

ABSTRACT:

Background

Early warning scores (EWS) have been developed as clinical prognostication tools to identify acutely deteriorating patients. In the past few years, there has been a proliferation of studies that describe the development and validation of novel machine learning-based EWS. Systematic reviews of published studies which focus on evaluating performance of both well-established and novel EWS have shown conflicting conclusions. A possible reason is the heterogeneity in validation methods applied. In this review, we aim to examine the methodologies and metrics used in studies which perform EWS validation.

Methods

A systematic review of all eligible studies from the MEDLINE database and other sources, was performed. Studies were eligible if they performed validation on at

SUBMITTER: Fang AHS 

PROVIDER: S-EPMC7301346 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature