AIMC Topic: Hospital Mortality

Clear Filters Showing 211 to 220 of 347 articles

Added Value of Intraoperative Data for Predicting Postoperative Complications: The MySurgeryRisk PostOp Extension.

The Journal of surgical research Jun 9, 2020
BACKGROUND: Models that predict postoperative complications often ignore important intraoperative events and physiological changes. This study tested the hypothesis that accuracy, discrimination, and precision in predicting postoperative complication...
Middle Aged Postoperative Complications Hospital Mortality Models, Statistical Humans Machine Learning Forecasting Retrospective Studies Female Male
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Deep Learning for Improved Risk Prediction in Surgical Outcomes.

Scientific reports Jun 9, 2020
The Norwood surgical procedure restores functional systemic circulation in neonatal patients with single ventricle congenital heart defects, but this complex procedure carries a high mortality rate. In this study we address the need to provide an acc...
Humans Neural Networks, Computer Infant, Newborn Infant Deep Learning Risk Monte Carlo Method Decision Making, Organizational Hypoplastic Left Heart Syndrome Norwood Procedures Length of Stay Hospital Mortality Models, Statistical Heart Ventricles Markov Chains
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Prediction of in-hospital mortality in patients with post traumatic brain injury using National Trauma Registry and Machine Learning Approach.

Scandinavian journal of trauma, resuscitation and emergency medicine May 27, 2020
BACKGROUND: The use of machine learning techniques to predict diseases outcomes has grown significantly in the last decade. Several studies prove that the machine learning predictive techniques outperform the classical multivariate techniques. We aim...
Female Adult Sensitivity and Specificity Hospital Mortality Male Humans Brain Injuries, Traumatic Middle Aged Machine Learning Area Under Curve Registries Multivariate Analysis
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Predicting Survival After Extracorporeal Membrane Oxygenation by Using Machine Learning.

The Annals of thoracic surgery May 23, 2020
BACKGROUND: Venoarterial (VA) extracorporeal membrane oxygenation (ECMO) undoubtedly saves many lives, but it is associated with a high degree of patient morbidity, mortality, and resource use. This study aimed to develop a machine learning algorithm...
New York Shock, Cardiogenic Retrospective Studies Female Aged Survival Rate Male Middle Aged Hospital Mortality ROC Curve Follow-Up Studies Extracorporeal Membrane Oxygenation Humans Machine Learning Prognosis
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Prediction of mortality in Intensive Care Units: a multivariate feature selection.

Journal of biomedical informatics May 23, 2020
CONTEXT: The critical nature of patients in Intensive Care Units (ICUs) demands intensive monitoring of their vital signs as well as highly qualified professional assistance. The combination of these needs makes ICUs very expensive, which requires in...
APACHE Vital Signs Humans Machine Learning Intensive Care Units Hospital Mortality
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Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR.

Journal of vascular and interventional radiology : JVIR May 4, 2020
PURPOSE: To demonstrate that random forest models trained on a large national sample can accurately predict relevant outcomes and may ultimately contribute to future clinical decision support tools in IR.
Databases, Factual Retrospective Studies Female Infant, Newborn Risk Factors Humans Machine Learning Middle Aged Risk Assessment Infant Length of Stay Adolescent Aged Aged, 80 and over Young Adult Adult Male Portasystemic Shunt, Transjugular Intrahepatic Iatrogenic Disease Pneumothorax Uterine Artery Embolization United States Inpatients Data Mining Time Factors Radiography, Interventional Child, Preschool Image-Guided Biopsy Child Hospital Mortality
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Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models.

International journal of medical informatics Apr 15, 2020
BACKGROUND: Febrile neutropenia (FN) has been associated with high mortality among adults with cancer. Current systems for early detection of inpatient FN mortality are based on scoring indexes that require intensive physicians' subjective evaluation...
Humans Neural Networks, Computer Machine Learning Female Hospitalization Aged Survival Rate Male Middle Aged Hospital Mortality ROC Curve Support Vector Machine Febrile Neutropenia
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Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records.

The Lancet. Digital health Mar 12, 2020
BACKGROUND: Many mortality prediction models have been developed for patients in intensive care units (ICUs); most are based on data available at ICU admission. We investigated whether machine learning methods using analyses of time-series data impro...
ROC Curve Area Under Curve Models, Biological Simplified Acute Physiology Score Algorithms Male Middle Aged Prognosis Risk Assessment Retrospective Studies Humans Electronic Health Records Cohort Studies Critical Illness Machine Learning Female Hospital Mortality Intensive Care Units Data Analysis Hospitalization Aged
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Improving Mortality Predictions for Patients With Mechanical Circulatory Support Using Follow-Up Data and Machine Learning.

Circulation. Genomic and precision medicine Mar 11, 2020
Humans Hospital Mortality Machine Learning Follow-Up Studies Prognosis Registries Survival Rate Heart Failure Heart-Assist Devices
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A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections.

Nature communications Mar 4, 2020
Improved identification of bacterial and viral infections would reduce morbidity from sepsis, reduce antibiotic overuse, and lower healthcare costs. Here, we develop a generalizable host-gene-expression-based classifier for acute bacterial and viral ...
RNA, Messenger Support Vector Machine Bacterial Infections Acute Disease Datasets as Topic Humans Gene Expression Profiling Neural Networks, Computer Sepsis Host-Pathogen Interactions Aged Intensive Care Units Hospital Mortality Virus Diseases Aged, 80 and over Female ROC Curve Adult Male Middle Aged
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