AIMC Topic: Hospital Mortality

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Using machine learning methods for predicting inhospital mortality in patients undergoing open repair of abdominal aortic aneurysm.

Journal of biomedical informatics Jul 6, 2016
An abdominal aortic aneurysm is an abnormal dilatation of the aortic vessel at abdominal level. This disease presents high rate of mortality and complications causing a decrease in the quality of life and increasing the cost of treatment. To estimate...
Quality of Life Hospital Mortality Treatment Outcome Aortic Aneurysm, Abdominal Bayes Theorem Humans Machine Learning Risk Factors Risk Assessment
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Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Feb 13, 2016
OBJECTIVES: Predictive analytics in emergency care has mostly been limited to the use of clinical decision rules (CDRs) in the form of simple heuristics and scoring systems. In the development of CDRs, limitations in analytic methods and concerns wit...
Hospital Mortality ROC Curve Decision Support Systems, Clinical Logistic Models Emergency Service, Hospital Aged, 80 and over Adult Male Middle Aged Sepsis Humans Trauma Centers Machine Learning Retrospective Studies Electronic Health Records Female Hospitalization Aged
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Herpes simplex virus in bronchoalveolar lavage fluid of medical intensive care unit patients: Association with lung injury and outcome.

Journal of critical care Dec 8, 2015
PURPOSE: In intensive care unit (ICU) patients in whom bronchoalveolar lavage fluid (BALF) was analyzed for suspected infectious pulmonary disease, we investigated the association of herpes simplex virus (HSV) in the BALF with lung injury and patient...
Hospitals, University Herpes Simplex Humans Aged Simplexvirus Retrospective Studies Respiratory Tract Infections Male Intensive Care Units Extravascular Lung Water Middle Aged Female Bronchoalveolar Lavage Fluid Length of Stay Lung Injury Hospital Mortality
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Statistical Machines for Trauma Hospital Outcomes Research: Application to the PRospective, Observational, Multi-Center Major Trauma Transfusion (PROMMTT) Study.

PloS one Aug 21, 2015
Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and public health interest. This analysis introduces flexible statistical methods for estimating center-level effects on individual outcomes in the context of...
Hospital Mortality Injury Severity Score Female Multiple Trauma Humans Blood Component Transfusion Adult Machine Learning Outcome Assessment, Health Care Trauma Centers Male Prospective Studies Survival Analysis Middle Aged Hemorrhage
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Prediction of in-hospital mortality after ruptured abdominal aortic aneurysm repair using an artificial neural network.

Journal of vascular surgery May 5, 2015
OBJECTIVE: Ruptured abdominal aortic aneurysm (rAAA) carries a high mortality rate, even with prompt transfer to a medical center. An artificial neural network (ANN) is a computational model that improves predictive ability through pattern recognitio...
ROC Curve Logistic Models Treatment Outcome Age Factors Predictive Value of Tests Middle Aged Risk Assessment Time Factors Hospital Mortality Blood Vessel Prosthesis Implantation Endovascular Procedures Tennessee Heart Arrest Unconsciousness Aortic Aneurysm, Abdominal Area Under Curve Shock Multivariate Analysis Odds Ratio Neural Networks, Computer Algorithms Decision Support Techniques Databases, Factual Retrospective Studies Female Risk Factors Aged Aged, 80 and over Male Humans Aortic Rupture
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Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study.

The Lancet. Respiratory medicine Nov 24, 2014
BACKGROUND: Improved mortality prediction for patients in intensive care units is a big challenge. Many severity scores have been proposed, but findings of validation studies have shown that they are not adequately calibrated. The Super ICU Learner A...
Hospital Mortality ROC Curve Risk Boston Aged, 80 and over Algorithms Male Humans Intensive Care Units Middle Aged Machine Learning Female Severity of Illness Index Reproducibility of Results Aged
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Mortality prediction in ICU: a methodological advance.

The Lancet. Respiratory medicine Nov 24, 2014
Machine Learning Intensive Care Units Female Male Severity of Illness Index Hospital Mortality Humans
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In-hospital mortality and morbidity after robotic coronary artery surgery.

Journal of cardiothoracic and vascular anesthesia Jul 11, 2014
OBJECTIVES: The objective of this study was to assess the impact of robotic approaches on outcomes of coronary bypass surgery.
Humans Databases, Factual Retrospective Studies Female United States Aged Treatment Outcome Male Robotics Middle Aged Coronary Artery Disease Hospital Mortality Coronary Artery Bypass
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Ensemble of trees approaches to risk adjustment for evaluating a hospital's performance.

Health care management science Apr 29, 2014
A commonly used method for evaluating a hospital's performance on an outcome is to compare the hospital's observed outcome rate to the hospital's expected outcome rate given its patient (case) mix and service. The process of calculating the hospital'...
Risk Adjustment Diagnosis-Related Groups Hospital Administration Intensive Care Units, Neonatal Humans Birth Weight Artificial Intelligence Outcome Assessment, Health Care Prenatal Care Pregnancy Pregnancy Complications Hospital Mortality Female Logistic Models Gestational Age Premature Birth Socioeconomic Factors Bayes Theorem
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Classifier calibration using splined empirical probabilities in clinical risk prediction.

Health care management science Feb 21, 2014
The aims of supervised machine learning (ML) applications fall into three broad categories: classification, ranking, and calibration/probability estimation. Many ML methods and evaluation techniques relate to the first two. Nevertheless, there are ma...
Probability Calibration Process Assessment, Health Care Risk Assessment England Hospital Mortality ROC Curve Myocardial Infarction Humans Artificial Intelligence Algorithms
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