AIMC Topic: ROC Curve

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Level of adrenomedullin in cases with adrenal defficiency and its relation to mortality in patients with sepsis.

Tuberkuloz ve toraks Sep 1, 2016
INTRODUCTION: The aim of this study was to determine the prognostic value of adrenomedullin, after evaluation of adrenal function in sepsis patients. We also evaluated other prognostic factors such as APACHE II score, proBNP, and CRP and their predic...
Intensive Care Units Humans Risk Assessment APACHE Female Prospective Studies Sepsis Aged Adrenomedullin Biomarkers Prognosis ROC Curve Male Early Diagnosis Middle Aged
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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...
Lipopolysaccharide Receptors Case-Control Studies Pancreatitis Hospital Mortality Retrospective Studies ROC Curve Female Multiple Organ Failure Male Middle Aged Humans Severity of Illness Index Biomarkers Predictive Value of Tests Prognosis Area Under Curve Acute Disease Peptide Fragments APACHE
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A mobile platform for automated screening of asthma and chronic obstructive pulmonary disease.

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
Chronic Obstructive Pulmonary Disease (COPD) and asthma each represent a large proportion of the global disease burden; COPD is the third leading cause of death worldwide and asthma is one of the most prevalent chronic diseases, afflicting over 300 m...
Logistic Models Mass Screening Respiratory Function Tests Stethoscopes Humans Asthma Algorithms Surveys and Questionnaires Pulmonary Disease, Chronic Obstructive ROC Curve Smartphone
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Classification of large-scale fundus image data sets: a cloud-computing framework.

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
Large medical image data sets with high dimensionality require substantial amount of computation time for data creation and data processing. This paper presents a novel generalized method that finds optimal image-based feature sets that reduce comput...
Humans ROC Curve Diabetic Retinopathy Fundus Oculi Algorithms Image Interpretation, Computer-Assisted Female Databases as Topic Reproducibility of Results Cloud Computing
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Detection of mitotic nuclei in breast histopathology images using localized ACM and Random Kitchen Sink based classifier.

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
The exact measure of mitotic nuclei is a crucial parameter in breast cancer grading and prognosis. This can be achieved by improving the mitotic detection accuracy by careful design of segmentation and classification techniques. In this paper, segmen...
Mitosis Breast Neoplasms ROC Curve Image Processing, Computer-Assisted Breast Cell Nucleus Humans Algorithms Prognosis Female
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A deep bag-of-features model for the classification of melanomas in dermoscopy images.

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
Deep learning and unsupervised feature learning have received great attention in past years for their ability to transform input data into high level representations using machine learning techniques. Such interest has been growing steadily in the fi...
Humans Neural Networks, Computer Machine Learning Databases, Factual Melanoma Skin Neoplasms Dermoscopy ROC Curve Image Processing, Computer-Assisted
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Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique.

Medical physics Jun 1, 2016
PURPOSE: Automated detection of solitary pulmonary nodules using positron emission tomography (PET) and computed tomography (CT) images shows good sensitivity; however, it is difficult to detect nodules in contact with normal organs, and additional e...
Support Vector Machine Sensitivity and Specificity Humans Positron Emission Tomography Computed Tomography Male Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Lung Whole Body Imaging ROC Curve Female Lung Neoplasms
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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...
Stroke Volume Middle Aged Case-Control Studies Pilot Projects ROC Curve Reproducibility of Results Aged Male Ventricular Function, Left Humans Biopsy Machine Learning Diagnosis, Differential Algorithms Feasibility Studies Predictive Value of Tests Decision Support Techniques Echocardiography, Doppler Area Under Curve Female Cardiomyopathy, Restrictive Myocardium Pericarditis, Constrictive
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Statistical-learning strategies generate only modestly performing predictive models for urinary symptoms following external beam radiotherapy of the prostate: A comparison of conventional and machine-learning methods.

Medical physics May 1, 2016
PURPOSE: Given the paucity of available data concerning radiotherapy-induced urinary toxicity, it is important to ensure derivation of the most robust models with superior predictive performance. This work explores multiple statistical-learning strat...
Aged, 80 and over Male Middle Aged Comorbidity Severity of Illness Index Neural Networks, Computer Machine Learning Prognosis Aged Prostatic Neoplasms Prostate Models, Biological Multivariate Analysis Urination Disorders ROC Curve Logistic Models Follow-Up Studies Area Under Curve Humans Radiotherapy
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A scoring system based on artificial neural network for predicting 10-year survival in stage II A colon cancer patients after radical surgery.

Oncotarget Apr 19, 2016
Nearly 20% patients with stage II A colon cancer will develop recurrent disease post-operatively. The present study aims to develop a scoring system based on Artificial Neural Network (ANN) model for predicting 10-year survival outcome. The clinical ...
Male Middle Aged ROC Curve Area Under Curve Neoplasm Recurrence, Local Female Colonic Neoplasms Risk Factors Disease-Free Survival Humans Aged Kaplan-Meier Estimate Neural Networks, Computer Adult Biomarkers, Tumor
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