AIMC Topic: Area Under Curve

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Improving CCTA-based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation.

Medical physics Mar 1, 2017
PURPOSE: The goal of this study was to assess the potential added benefit of accounting for partial volume effects (PVE) in an automatic coronary lumen segmentation algorithm that is used to determine the hemodynamic significance of a coronary artery...
Coronary Angiography Datasets as Topic Coronary Vessels Pattern Recognition, Automated Computed Tomography Angiography Models, Cardiovascular Coronary Stenosis Retrospective Studies Hemodynamics ROC Curve Imaging, Three-Dimensional Area Under Curve Humans Machine Learning Software
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Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network.

Medical physics Mar 1, 2017
PURPOSE: It is estimated that 7% of women in the western world will develop palpable breast cysts in their lifetime. Even though cysts have been correlated with risk of developing breast cancer, many of them are benign and do not require follow-up. W...
Female Breast Cyst Humans Diagnosis, Differential Neural Networks, Computer Breast Neoplasms Area Under Curve ROC Curve Radiographic Image Interpretation, Computer-Assisted Mammography Datasets as Topic False Positive Reactions
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Using recurrent neural network models for early detection of heart failure onset.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2017
OBJECTIVE: We explored whether use of deep learning to model temporal relations among events in electronic health records (EHRs) would improve model performance in predicting initial diagnosis of heart failure (HF) compared to conventional methods th...
Logistic Models Humans Support Vector Machine Neural Networks, Computer Area Under Curve Machine Learning Heart Failure Electronic Health Records Early Diagnosis
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Cell Free DNA and Procalcitonin as Early Markers of Complications in ICU Patients with Multiple Trauma and Major Surgery.

Clinical laboratory Dec 1, 2016
BACKGROUND: Cell free DNA (cfDNA) was recently suggested as a new marker of sepsis and poor outcome in ICU patients. Procalcitonin has also been the focus of attention as an early marker for systemic inflammation and sepsis.
Surgical Procedures, Operative Lactic Acid Injury Severity Score Organ Dysfunction Scores Calcitonin Middle Aged C-Reactive Protein Postoperative Complications Area Under Curve Length of Stay DNA Sepsis Early Diagnosis Female Time Factors Humans Reproducibility of Results Hospital Mortality Risk Factors Biomarkers ROC Curve Adult Prognosis Male Intensive Care Units Cell-Free Nucleic Acids Multiple Trauma Predictive Value of Tests
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Elevated Presepsin Levels are Associated with Severity and Prognosis of Severe Acute Pancreatitis.

Clinical laboratory Sep 1, 2016
BACKGROUND: Current clinical scoring systems are insufficient in the early identification of severe acute pancreatitis (SAP) patients at risk of developing potentially lethal complications. This present study was designed to evaluate the relationship...
ROC Curve Humans Multiple Organ Failure Predictive Value of Tests Area Under Curve Acute Disease Peptide Fragments Male Biomarkers APACHE Prognosis Lipopolysaccharide Receptors Retrospective Studies Pancreatitis Female Middle Aged Severity of Illness Index Case-Control Studies Hospital Mortality
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AUCpreD: proteome-level protein disorder prediction by AUC-maximized deep convolutional neural fields.

Bioinformatics (Oxford, England) Sep 1, 2016
MOTIVATION: Protein intrinsically disordered regions (IDRs) play an important role in many biological processes. Two key properties of IDRs are (i) the occurrence is proteome-wide and (ii) the ratio of disordered residues is about 6%, which makes it ...
Neural Networks, Computer Machine Learning Forecasting Proteome Sequence Analysis, DNA Area Under Curve
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Efficient compressive sensing of ECG segments based on machine learning for QRS-based arrhythmia detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
A novel method for efficient telemonitoring of arrhythmia based on using QRS complexes is proposed. Two features, namely, sum of absolute differences (SAD) and maximum of absolute differences (MAD) are efficiently computed for each ECG segment in the...
Arrhythmias, Cardiac Data Compression Reproducibility of Results Time Factors Electrocardiography Area Under Curve Signal Processing, Computer-Assisted Humans Machine Learning Algorithms Computer Simulation
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Risk prediction for cardiovascular disease using ECG data in the China kadoorie biobank.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
We set out to use machine learning techniques to analyse ECG data to improve risk evaluation of cardiovascular disease in a very large cohort study of the Chinese population. We performed this investigation by (i) detecting "abnormality" using 3 one-...
Area Under Curve Biological Specimen Banks Arrhythmias, Cardiac Humans Probability Cohort Studies Databases, Factual Machine Learning Reproducibility of Results Electrocardiography Cardiovascular Diseases Regression Analysis Risk Assessment Blood Pressure China
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Measuring the agreement between brain connectivity networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Investigating the level of similarity between two brain networks, resulting from measures of effective connectivity in the brain, can be of interest from many respects. In this study, we propose and test the idea to borrow measures of association use...
Electroencephalography Humans Brain Signal Processing, Computer-Assisted Computer Simulation Analysis of Variance Models, Neurological Nerve Net Brain Mapping Area Under Curve
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Cognitive Machine-Learning Algorithm for Cardiac Imaging: A Pilot Study for Differentiating Constrictive Pericarditis From Restrictive Cardiomyopathy.

Circulation. Cardiovascular imaging Jun 1, 2016
BACKGROUND: Associating a patient's profile with the memories of prototypical patients built through previous repeat clinical experience is a key process in clinical judgment. We hypothesized that a similar process using a cognitive computing tool wo...
ROC Curve Diagnosis, Differential Predictive Value of Tests Area Under Curve Myocardium Stroke Volume Middle Aged Case-Control Studies Pilot Projects Biopsy Feasibility Studies Echocardiography, Doppler Cardiomyopathy, Restrictive Pericarditis, Constrictive Humans Machine Learning Algorithms Decision Support Techniques Female Reproducibility of Results Aged Male Ventricular Function, Left
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