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Hospitalization

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Clinical Predictive Models for COVID-19: Systematic Study.

Journal of medical Internet research Oct 6, 2020
BACKGROUND: COVID-19 is a rapidly emerging respiratory disease caused by SARS-CoV-2. Due to the rapid human-to-human transmission of SARS-CoV-2, many health care systems are at risk of exceeding their health care capacities, in particular in terms of...
Pandemics COVID-19 Algorithms Retrospective Studies Intensive Care Units SARS-CoV-2 Humans Neural Networks, Computer Machine Learning Area Under Curve Coronavirus Infections COVID-19 Testing Public Health Informatics Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Hospitalization Sensitivity and Specificity Brazil Respiration, Artificial ROC Curve Predictive Value of Tests
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Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients.

European radiology Sep 18, 2020
OBJECTIVE: To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19.
Mortality Middle Aged Comorbidity Severity of Illness Index Deep Learning Age Factors Radiography Emergency Service, Hospital Italy Neurodegenerative Diseases Coronary Artery Disease Sex Factors Proportional Hazards Models Radiography, Thoracic Humans Female SARS-CoV-2 Hospitalization Aged Pulmonary Disease, Chronic Obstructive Male Artificial Intelligence COVID-19 Prognosis Retrospective Studies Tomography, X-Ray Computed Intensive Care Units
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Development of Machine Learning Models to Validate a Medication Regimen Complexity Scoring Tool for Critically Ill Patients.

The Annals of pharmacotherapy Sep 15, 2020
INTRODUCTION: The Medication Regimen Complexity -Intensive Care Unit (MRC-ICU) is the first tool for measuring medication regimen complexity in critically ill patients. This study tested machine learning (ML) models to investigate the relationship be...
Female Hospitalization Aged Aged, 80 and over Adult Male Humans Machine Learning Retrospective Studies Critical Illness Intensive Care Units Middle Aged Hospital Mortality Bayes Theorem APACHE Medication Reconciliation
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Development, implementation, and prospective validation of a model to predict 60-day end-of-life in hospitalized adults upon admission at three sites.

BMC medical informatics and decision making Sep 7, 2020
BACKGROUND: Automated systems that use machine learning to estimate a patient's risk of death are being developed to influence care. There remains sparse transparent reporting of model generalizability in different subpopulations especially for imple...
Machine Learning Prospective Studies Prognosis Electronic Health Records Female Hospitalization Aged Humans Patient Admission Mortality Aged, 80 and over Young Adult Adult Male Middle Aged Adolescent
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System for High-Intensity Evaluation During Radiation Therapy (SHIELD-RT): A Prospective Randomized Study of Machine Learning-Directed Clinical Evaluations During Radiation and Chemoradiation.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Sep 4, 2020
PURPOSE: Patients undergoing outpatient radiotherapy (RT) or chemoradiation (CRT) frequently require acute care (emergency department evaluation or hospitalization). Machine learning (ML) may guide interventions to reduce this risk. There are limited...
Female Chemoradiotherapy Hospitalization Radiotherapy Aged Standard of Care Male Middle Aged Neoplasms Humans Risk Assessment ROC Curve Machine Learning Models, Theoretical Forecasting Area Under Curve Prospective Studies Emergency Service, Hospital Ambulatory Care Quality Improvement
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Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study.

The European respiratory journal Aug 20, 2020
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has globally strained medical resources and caused significant mortality.
Humans Machine Learning Pandemics COVID-19 Retrospective Studies Female Reproducibility of Results Hospitalization Predictive Value of Tests Triage China Aged Area Under Curve Sex Factors Cohort Studies Adult Italy Survival Analysis Hospital Mortality Coronavirus Infections Internationality Male ROC Curve Belgium Middle Aged COVID-19 Testing Decision Support Systems, Clinical Clinical Laboratory Techniques Risk Assessment Age Factors Pneumonia, Viral Severity of Illness Index
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Utilization of machine-learning models to accurately predict the risk for critical COVID-19.

Internal and emergency medicine Aug 18, 2020
Among patients with Coronavirus disease (COVID-19), the ability to identify patients at risk for deterioration during their hospital stay is essential for effective patient allocation and management. To predict patient risk for critical COVID-19 base...
APACHE Pneumonia, Viral Adult Male Humans Retrospective Studies Middle Aged Machine Learning Critical Illness Risk Assessment Pandemics Female ROC Curve COVID-19 Hospitalization Coronavirus Infections Aged Aged, 80 and over
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Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study.

Journal of medical Internet research Aug 4, 2020
BACKGROUND: Community-acquired acute kidney injury (CA-AKI)-associated hospitalizations impose significant health care needs and contribute to in-hospital mortality. However, most risk prediction models developed to date have focused on AKI in a spec...
Humans Case-Control Studies Machine Learning Female Acute Kidney Injury Cohort Studies Hospitalization Community-Acquired Infections Electronic Health Records Aged Male Middle Aged Risk Assessment
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Development and validation of prognosis model of mortality risk in patients with COVID-19.

Epidemiology and infection Aug 4, 2020
This study aimed to identify clinical features for prognosing mortality risk using machine-learning methods in patients with coronavirus disease 2019 (COVID-19). A retrospective study of the inpatients with COVID-19 admitted from 15 January to 15 Mar...
Adolescent ROC Curve Logistic Models Coronavirus Infections Pneumonia, Viral Young Adult Adult Male Humans Middle Aged Prognosis Machine Learning Risk Assessment Retrospective Studies China Female Pandemics Reproducibility of Results COVID-19 Hospitalization Aged
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Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care.

Critical care (London, England) Jul 30, 2020
BACKGROUND: Pre-hospital circumstances, cardiac arrest characteristics, comorbidities and clinical status on admission are strongly associated with outcome after out-of-hospital cardiac arrest (OHCA). Early prediction of outcome may inform prognosis,...
Hypothermia, Induced Aged Humans Male Neural Networks, Computer Middle Aged Prognosis Risk Assessment Female ROC Curve Reproducibility of Results Critical Care Hospitalization Out-of-Hospital Cardiac Arrest
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