Validating performance of TRISS, TARN and NORMIT survival prediction models in a Norwegian trauma population
نویسندگان
چکیده
منابع مشابه
Validating performance of TRISS, TARN and NORMIT survival prediction models in a Norwegian trauma population
INTRODUCTION Anatomic injury, physiological derangement, age, injury mechanism and pre-injury comorbidity are well-founded predictors of trauma outcome. Statistical prediction models may have poorer discrimination, calibration and accuracy when applied in new locations. We aimed to compare the TRISS, TARN and NORMIT survival prediction models in a Norwegian trauma population. METHODS Consecut...
متن کاملEvaluation of trauma and prediction of outcome using TRISS method
INTRODUCTION Trauma and injury severity score (TRISS), introduced in 1981 is a combination index based on revised trauma score (RTS), injury severity score (ISS) and patient's age. In this study we have used TRISS method to predict the outcome in trauma cases. MATERIALS AND METHODS 1000 consecutive cases of trauma of adult age group admitted in casualty of Dayanand Medical College and Hospita...
متن کاملNew Trauma and Injury Severity Score (TRISS) adjustments for survival prediction
Background The objective of this study is to propose three new adjustments to the Trauma and Injury Severity Score (TRISS) equation and compare their performances with the original TRISS as well as this index with coefficients adjusted for the study population. Methods This multicenter, retrospective study evaluated trauma victims admitted to two hospitals in São Paulo-Brazil and San Diego-EU...
متن کاملindividual qualities and integrative motivation and their prediction of non-linguistic outcomes of learning english in intermediate iranian students: a psychological perspective
abstract this study investigated the predictability of variables from a motivational framework as well as individuals qualities to predict three non-linguistic outcomes of language learning. gardners socio-educational model with its measures has been used in the current study. individual qualities presented in this study include (1) age, (2) gender, and (3) language learning experience. the...
Comparison of Artificial Neural Networks and Cox Regression Models in Prediction of Kidney Transplant Survival
Cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. In recent decades, artificial neural network model has been increasingly applied to predict survival data. This research was conducted to compare Cox regression and artificial neural network models in prediction of kidney transplant survival. The prese...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Acta Anaesthesiologica Scandinavica
سال: 2017
ISSN: 0001-5172
DOI: 10.1111/aas.13029