AIMC Topic: ROC Curve

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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...
Surveys and Questionnaires ROC Curve Smartphone Humans Mass Screening Logistic Models Algorithms Respiratory Function Tests Pulmonary Disease, Chronic Obstructive Stethoscopes Asthma
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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 Fundus Oculi Female Image Interpretation, Computer-Assisted Reproducibility of Results Diabetic Retinopathy Databases as Topic ROC Curve Algorithms 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...
Humans Algorithms Prognosis Female Cell Nucleus Breast Neoplasms Mitosis ROC Curve Image Processing, Computer-Assisted Breast
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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...
ROC Curve Image Processing, Computer-Assisted Databases, Factual Humans Neural Networks, Computer Melanoma Machine Learning Skin Neoplasms Dermoscopy
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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...
Humans Positron Emission Tomography Computed Tomography Lung Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted ROC Curve Female Whole Body Imaging Lung Neoplasms Sensitivity and Specificity Support Vector Machine Male
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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...
Middle Aged Case-Control Studies Pilot Projects ROC Curve Aged Male Ventricular Function, Left Humans Stroke Volume Biopsy Decision Support Techniques Diagnosis, Differential Feasibility Studies Female Echocardiography, Doppler Predictive Value of Tests Machine Learning Reproducibility of Results Area Under Curve Cardiomyopathy, Restrictive Algorithms Pericarditis, Constrictive Myocardium
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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...
Comorbidity Severity of Illness Index ROC Curve Logistic Models Aged Aged, 80 and over Male Middle Aged Models, Biological Multivariate Analysis Urination Disorders Radiotherapy Follow-Up Studies Area Under Curve Prostatic Neoplasms Prostate Neural Networks, Computer Machine Learning Prognosis Humans
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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 ...
Area Under Curve Neoplasm Recurrence, Local Colonic Neoplasms Disease-Free Survival Kaplan-Meier Estimate Biomarkers, Tumor Male Middle Aged ROC Curve Female Risk Factors Aged Adult Humans Neural Networks, Computer
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Detecting reliable non interacting proteins (NIPs) significantly enhancing the computational prediction of protein-protein interactions using machine learning methods.

Molecular bioSystems Mar 1, 2016
Protein-protein interactions (PPIs) play a vital role in most biological processes. Hence their comprehension can promote a better understanding of the mechanisms underlying living systems. However, besides the cost and the time limitation involved i...
ROC Curve Protein Interaction Mapping Machine Learning Sample Size Protein Binding Reproducibility of Results Probability Computational Biology Databases, Protein
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Accuracy of machine learning classifiers using bilateral data from a Scheimpflug camera for identifying eyes with preclinical signs of keratoconus.

Journal of cataract and refractive surgery Feb 1, 2016
PURPOSE: To describe the topographic and tomographic characteristics of normal fellow eyes of unilateral keratoconus cases and to evaluate the accuracy of machine learning classifiers in discriminating healthy corneas from the normal fellow corneas.
Retrospective Studies Female Reproducibility of Results Young Adult Male Middle Aged Case-Control Studies Adult Cornea Humans Machine Learning Photography Corneal Pachymetry ROC Curve Keratoconus Corneal Topography Diagnostic Techniques, Ophthalmological
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