Development and External Validation of an Automated Computer-Aided Risk Score for Predicting Sepsis in Emergency Medical Admissions Using the Patient's First Electronically Recorded Vital Signs and Blood Test Results.
作者： Muhammad Faisal , Andy Scally , Donald Richardson , Kevin Beatson , Robin Howes
DOI: 10.1097/CCM.0000000000002967
关键词: Emergency admission 、 Framingham Risk Score 、 External validation 、 Blood test 、 Emergency medicine 、 Vital signs 、 Computer-aided 、 Sepsis 、 Logistic regression 、 Medicine
摘要: Objectives:To develop a logistic regression model to predict the risk of sepsis following emergency medical admission using patient’s first, routinely collected, electronically recorded vital signs and blood test results validate this novel computer-aided model, data
brad.ac.uk
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