AIMC Topic: ROC Curve

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Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.

IEEE transactions on medical imaging Aug 1, 2020
The coronavirus disease (COVID-19) is rapidly spreading all over the world, and has infected more than 1,436,000 people in more than 200 countries and territories as of April 9, 2020. Detecting COVID-19 at early stage is essential to deliver proper h...
Deep Learning ROC Curve Coronavirus Infections Image Interpretation, Computer-Assisted Radiography, Thoracic Community-Acquired Infections Betacoronavirus Pneumonia, Viral COVID-19 Algorithms Tomography, X-Ray Computed SARS-CoV-2 Humans Pandemics
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sureLDA: A multidisease automated phenotyping method for the electronic health record.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2020
OBJECTIVE: A major bottleneck hindering utilization of electronic health record data for translational research is the lack of precise phenotype labels. Chart review as well as rule-based and supervised phenotyping approaches require laborious expert...
ROC Curve Humans Algorithms Natural Language Processing Precision Medicine Translational Research, Biomedical Electronic Health Records
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Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2020
OBJECTIVE: As coronavirus disease 2019 (COVID-19) started its rapid emergence and gradually transformed into an unprecedented pandemic, the need for having a knowledge repository for the disease became crucial. To address this issue, a new COVID-19 m...
Neural Networks, Computer Software Pandemics COVID-19 Bayes Theorem Logistic Models Coronavirus Infections Support Vector Machine Humans Datasets as Topic Decision Trees Pneumonia, Viral Algorithms ROC Curve
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An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2020
OBJECTIVE: In an effort to improve the efficiency of computer algorithms applied to screening for coronavirus disease 2019 (COVID-19) testing, we used natural language processing and artificial intelligence-based methods with unstructured patient dat...
Clinical Laboratory Techniques South Carolina Betacoronavirus Pneumonia, Viral Coronavirus Infections Telemedicine COVID-19 Testing Organizational Case Studies COVID-19 Algorithms Electronic Health Records SARS-CoV-2 Risk Assessment Deep Learning ROC Curve Natural Language Processing Humans Neural Networks, Computer Artificial Intelligence Pandemics
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Prediction of all-cause mortality in haemodialysis patients using a Bayesian network.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association Aug 1, 2020
BACKGROUND: All-cause mortality in haemodialysis (HD) is high, reaching 15.6% in the first year according to the European Renal Association.
Survival Rate Renal Dialysis ROC Curve Bayes Theorem Humans Artificial Intelligence Prospective Studies Prognosis
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Validating clinical threshold values for a dashboard view of the compensatory reserve measurement for hemorrhage detection.

The journal of trauma and acute care surgery Aug 1, 2020
BACKGROUND: Compensatory reserve measurement (CRM) is a novel noninvasive monitoring technology designed to assess physiologic reserve using feature interrogation of arterial pulse waveforms. This study was conducted to validate clinically relevant C...
Vital Signs Blood Volume Data Display Hemodynamics User-Computer Interface Adult ROC Curve Humans Blood Transfusion Sensitivity and Specificity Logistic Models Machine Learning Hemorrhage Male Female Shock Middle Aged Risk Factors Injury Severity Score
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ASSESSMENT OF CENTRAL SEROUS CHORIORETINOPATHY DEPICTED ON COLOR FUNDUS PHOTOGRAPHS USING DEEP LEARNING.

Retina (Philadelphia, Pa.) Aug 1, 2020
PURPOSE: To investigate whether and to what extent central serous chorioretinopathy (CSC) depicted on color fundus photographs can be assessed using deep learning technology.
Female Adult Male Middle Aged Humans Diagnosis, Computer-Assisted Deep Learning ROC Curve Photography Tomography, Optical Coherence Area Under Curve Ophthalmologists Fundus Oculi Central Serous Chorioretinopathy
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Evaluation of Machine Learning-based Patient Outcome Prediction Using Patient-specific Difficulty and Discrimination Indices.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Given the extensive use of machine learning in patient outcome prediction, and the understanding that the challenging nature of predictions in this field may considerably modify the performance of predictive models, research in this area requires som...
Humans ROC Curve Machine Learning Logistic Models Algorithms Prognosis
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Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2020
OBJECTIVE: Machine learning models trained on electronic health records have achieved high prognostic accuracy in test datasets, but little is known about their embedding into clinical workflows. We implemented a random forest-based algorithm to iden...
Algorithms Prospective Studies Middle Aged Humans Electronic Health Records Risk Assessment Workflow Hospitalization Machine Learning Female Delirium Aged ROC Curve Aged, 80 and over Models, Theoretical Male
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Using Machine Learning to Predict Primary Care and Advance Workforce Research.

Annals of family medicine Jul 1, 2020
PURPOSE: To develop and test a machine-learning-based model to predict primary care and other specialties using Medicare claims data.
Physicians, Primary Care Insurance Claim Review Humans Machine Learning United States Algorithms Area Under Curve Cross-Sectional Studies Medicare ROC Curve Workforce Primary Health Care
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