Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models

The purpose of this study was to build a model of machine learning (ML) for the prediction of mortality in patients with isolated moderate and severe traumatic brain injury (TBI). Hospitalized adult patients registered in the Trauma Registry System between January 2009 and December 2015 were enrolle...

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Veröffentlicht in:	PloS one 2018-11, Vol.13 (11), p.e0207192-e0207192
Hauptverfasser:	Rau, Cheng-Shyuan, Kuo, Pao-Jen, Chien, Peng-Chen, Huang, Chun-Ying, Hsieh, Hsiao-Yun, Hsieh, Ching-Hua
Format:	Artikel
Sprache:	eng
Schlagworte:	Abbreviated Injury Scale Adult Aged Aged, 80 and over Artificial neural networks Bayes Theorem Bayesian analysis Biology and Life Sciences Brain Brain Injuries, Traumatic - mortality Computer and Information Sciences Decision Trees Demographics Demography Engineering and Technology Female Head injuries Humans Injury analysis Learning algorithms Learning theory Logistic Models Machine Learning Male Mathematical models Medicine and Health Sciences Middle Aged Mortality Neural networks Neural Networks (Computer) Patients Performance prediction Physical Sciences Predictive Value of Tests Research and Analysis Methods ROC Curve Sensitivity Sensitivity analysis Support Vector Machine Support vector machines Survival Taiwan - epidemiology Test sets Training Trauma Traumatic brain injury Young Adult
Online-Zugang:	Volltext
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