A novel fuzzy-logic inference system for predicting trauma-related mortality: emphasis on the impact of response to resuscitation

European Journal of Trauma and Emergency Surgery : Official Publication of the European Trauma Society
Yusuf Alper KilicIskender Sayek

Abstract

Trauma scoring aims for quantification and uniform reporting of trauma-related outcomes. Despite significant advances in trauma scoring, the exact time period at which relevant calculations should be made is not clear. Considering the importance of response to resuscitation, calculation of trauma scores after a period of resuscitation can allow better discrimination of patients who will survive. A fuzzy-logic inference system, which is completely based on expert opinion and uses Glasgow Coma Scale (GCS) and systolic blood pressure at arrival to emergency room (ER) and their response to resuscitation as inputs, was developed. Records of the last 150 trauma patients admitted to our surgical intensive care unit (ICU) were used for calculations related to Injury Severity Score (ISS), Revised Trauma Score (RTS), Trauma and Injury Severity Score, and A Severity Characterization of Trauma (ASCOT) systems. Calculation of trauma severity and predicted mortality was performed at different time intervals during resuscitation [at arrival to emergency room (ER), after 1 h of resuscitation, and at ICU admission]. The performance of conventional systems and fuzzy-logic system was compared. Mean ISS was 32.31 ± 14.01. All systems included show...Continue Reading

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Citations

May 5, 2011·Surgical Neurology International·Saniya Siraj GodilUvais Qidwai
May 15, 2012·Radiographics : a Review Publication of the Radiological Society of North America, Inc·David Dreizin, Felipe Munera
Oct 9, 2018·British Journal of Psychology·Sebastian Schneegans, Paul M Bays
Mar 7, 2017·Turkish Journal of Medical Sciences·Veysel AlcanMurat Zinnuroğlu

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