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Burn Units

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Features identification for automatic burn classification.

Burns : journal of the International Society for Burn Injuries 26188898
PURPOSE: In this paper an automatic system to diagnose burn depths based on colour digital photographs is presented.
Algorithms Automation Burn Units Burns Databases, Factual Diagnosis, Computer-Assisted Humans Photography Reproducibility of Results Sensitivity and Specificity Skin Support Vector Machine Trauma Severity Indices
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Machine learning models for early prediction of mortality risk in patients with burns: A single center experience.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS 38118361
Mortality rate is considered as the most important outcome measure for assessing the severity of burn injury. A scale or model that accurately predicts burn mortality can be useful to determine the clinical course of burn injuries, discuss treatment ...
Burn Units Hospitalization Humans Machine Learning Retrospective Studies
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