Outcome Prediction in a Surgical ICU Using Automatically Calculated SAPS II Scores

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

comparison between saps 3 and APACHE ii in surgical patients admitted to a brazilian ICU

Objectives The aim of this study was to compare the discriminatory power of two prognostic scores, SAPS 3 and APACHE II, in surgical patients. Methods Retrospectively collected data from all surgical patients admitted to a Brazilian hospital ICU between January 2011 and December 2013 were analyzed. The standardized mortality ratio (SMR) was computed for mortality prediction. The predictive abil...

متن کامل

comparison of apache ii and saps ii scoring systems in prediction of critically ill patients’ outcome

introduction: using physiologic scoring systems for identifying high-risk patients for mortality has been considered recently. this study was designed to evaluate the values of acute physiology and chronic health evaluation ii (apache ii) and simplified acute physiologic score (saps ii) models in prediction of 1-month mortality of critically ill patients. methods: the present prospective cross ...

متن کامل

Comparison of APACHE II and SAPS II Scoring Systems in Prediction of Critically Ill Patients’ Outcome

INTRODUCTION Using physiologic scoring systems for identifying high-risk patients for mortality has been considered recently. This study was designed to evaluate the values of Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiologic Score (SAPS II) models in prediction of 1-month mortality of critically ill patients. METHODS The present prospective cross ...

متن کامل

Determinants of the calibration of SAPS II and SAPS 3 mortality scores in intensive care: a European multicenter study

BACKGROUND The aim of the Simplified Acute Physiology Score (SAPS) II and SAPS 3 is to predict the mortality of patients admitted to intensive care units (ICUs). Previous studies have suggested that the calibration of these scores may vary across countries, centers, and/or characteristics of patients. In the present study, we aimed to assess determinants of the calibration of these scores. ME...

متن کامل

Interpretable Deep Models for ICU Outcome Prediction

Exponential surge in health care data, such as longitudinal data from electronic health records (EHR), sensor data from intensive care unit (ICU), etc., is providing new opportunities to discover meaningful data-driven characteristics and patterns ofdiseases. Recently, deep learning models have been employedfor many computational phenotyping and healthcare prediction tasks to achieve state-of-t...

متن کامل

ذخیره 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: Anaesthesia and Intensive Care

سال: 2003

ISSN: 0310-057X,1448-0271

DOI: 10.1177/0310057x0303100509