AIMC Topic: Hospital Mortality

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Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.

International journal of medical informatics Oct 5, 2017
BACKGROUND: Mortality prediction of hospitalized patients is an important problem. Over the past few decades, several severity scoring systems and machine learning mortality prediction models have been developed for predicting hospital mortality. By ...
Humans Machine Learning Databases, Factual Intensive Care Units Female Aged Adolescent Aged, 80 and over Hospital Mortality Young Adult ROC Curve Adult Bayes Theorem Male Outcome Assessment, Health Care Middle Aged Heart Diseases Severity of Illness Index
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A Comparison of a Machine Learning Model with EuroSCORE II in Predicting Mortality after Elective Cardiac Surgery: A Decision Curve Analysis.

PloS one Jan 6, 2017
BACKGROUND: The benefits of cardiac surgery are sometimes difficult to predict and the decision to operate on a given individual is complex. Machine Learning and Decision Curve Analysis (DCA) are recent methods developed to create and evaluate predic...
ROC Curve Logistic Models Models, Statistical Cardiac Surgical Procedures Cardiopulmonary Bypass Humans Machine Learning Decision Support Techniques Female Reproducibility of Results Aged Male Middle Aged Comorbidity Hospital Mortality
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Acute systolic heart failure with normal admission BNP: clinical features and outcomes.

International journal of cardiology Dec 20, 2016
INTRODUCTION: The characteristics and outcomes of patients hospitalized with acute systolic heart failure (HF) and normal admission B-type natriuretic peptide (BNP) has not been previously explored.
United States Follow-Up Studies Acute Disease Morbidity Patient Readmission Natriuretic Peptide, Brain Heart Failure, Systolic Patient Admission Ventricular Function, Left Stroke Volume Middle Aged Disease Progression Prognosis Time Factors Retrospective Studies Hospital Mortality Humans Female Biomarkers Survival Rate Male
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Predictors of in-hospital mortality following major lower extremity amputations in type 2 diabetic patients using artificial neural networks.

BMC medical research methodology Nov 22, 2016
BACKGROUND: Outcome prediction is important in the clinical decision-making process. Artificial neural networks (ANN) have been used to predict the risk of post-operative events, including survival, and are increasingly being used in complex medical ...
Humans Neural Networks, Computer Prognosis Retrospective Studies Female Aged Spain Amputation, Surgical Hospital Mortality Diabetes Mellitus, Type 2 Lower Extremity Aged, 80 and over Patient Discharge Male Outcome Assessment, Health Care Middle Aged Multivariate Analysis Prevalence Comorbidity
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Early surgery after angiography in patients scheduled for valve replacement.

Asian cardiovascular & thoracic annals Nov 14, 2016
Background There are limited data regarding the risks of cardiac surgery early after coronary angiography in patients scheduled for isolated aortic and/or mitral valve replacement. Our aim was to evaluate the risk of early surgery after coronary angi...
Humans Biomarkers Retrospective Studies Acute Kidney Injury Predictive Value of Tests Female Middle Aged Risk Factors Heart Valve Prosthesis Implantation Risk Assessment Coronary Angiography Aged Time Factors Creatinine Time-to-Treatment Hospital Mortality Aged, 80 and over Patient Selection Renal Insufficiency Treatment Outcome Male Mitral Valve Aortic Valve Heart Valve Diseases
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Assessing Hospital Performance After Percutaneous Coronary Intervention Using Big Data.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Although risk adjustment remains a cornerstone for comparing outcomes across hospitals, optimal strategies continue to evolve in the presence of many confounders. We compared conventional regression-based model to approaches particularly ...
Middle Aged Hospitals Time Factors Hospital Mortality Logistic Models Treatment Outcome Female Humans Propensity Score Cause of Death Risk Factors Likelihood Functions Machine Learning Registries Aged Massachusetts Algorithms Percutaneous Coronary Intervention Aged, 80 and over Process Assessment, Health Care Databases, Factual Male Data Mining Quality Indicators, Health Care Multivariate Analysis
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Procalcitonin as a potential predicting factor for prognosis in bacterial meningitis.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Oct 26, 2016
We investigated the potential role of serum procalcitonin in differentiating bacterial meningitis from viral meningitis, and in predicting the prognosis in patients with bacterial meningitis. This was a retrospective study of 80 patients with bacteri...
Adolescent Aged Calcitonin Hospital Mortality Humans Aged, 80 and over Meningitis, Viral Diagnosis, Differential Young Adult Biomarkers Predictive Value of Tests Adult Prognosis Meningitis, Bacterial Male Retrospective Studies Middle Aged Female
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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...
Humans Machine Learning Risk Factors Risk Assessment Quality of Life Hospital Mortality Treatment Outcome Aortic Aneurysm, Abdominal Bayes Theorem
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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...
Logistic Models Emergency Service, Hospital Trauma Centers Middle Aged Sepsis Hospital Mortality ROC Curve Decision Support Systems, Clinical Humans Machine Learning Retrospective Studies Electronic Health Records Female Hospitalization Aged Aged, 80 and over Adult Male
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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...
Herpes Simplex Simplexvirus Hospital Mortality Hospitals, University Respiratory Tract Infections Extravascular Lung Water Bronchoalveolar Lavage Fluid Lung Injury Female Aged Male Middle Aged Length of Stay Humans Retrospective Studies Intensive Care Units
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