AIMC Topic: ROC Curve

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Diabetic retinopathy screening using deep neural network.

Clinical & experimental ophthalmology Oct 4, 2017
IMPORTANCE: There is a burgeoning interest in the use of deep neural network in diabetic retinal screening.
Humans Diabetic Retinopathy ROC Curve Mass Screening Macula Lutea Photography Neural Networks, Computer Algorithms Retrospective Studies Reproducibility of Results
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Fangorn Forest (F2): a machine learning approach to classify genes and genera in the family Geminiviridae.

BMC bioinformatics Sep 30, 2017
BACKGROUND: Geminiviruses infect a broad range of cultivated and non-cultivated plants, causing significant economic losses worldwide. The studies of the diversity of species, taxonomy, mechanisms of evolution, geographic distribution, and mechanisms...
DNA, Satellite Machine Learning User-Computer Interface Internet ROC Curve Plants Area Under Curve Open Reading Frames Geminiviridae
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A machine learning approach for predicting methionine oxidation sites.

BMC bioinformatics Sep 29, 2017
BACKGROUND: The oxidation of protein-bound methionine to form methionine sulfoxide, has traditionally been regarded as an oxidative damage. However, recent evidences support the view of this reversible reaction as a regulatory post-translational modi...
Methionine Models, Theoretical Oxidation-Reduction Likelihood Functions Machine Learning Algorithms ROC Curve
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Real-Time Non-Invasive Detection and Classification of Diabetes Using Modified Convolution Neural Network.

IEEE journal of biomedical and health informatics Sep 28, 2017
Non-invasive diabetes prediction has been gaining prominence over the last decade. Among many human serums evaluated, human breath emerges as a promising option with acetone levels in breath exhibiting a good correlation to blood glucose levels. Such...
Female Young Adult Adult Male Humans Signal Processing, Computer-Assisted Blood Glucose Neural Networks, Computer Acetone Algorithms ROC Curve Breath Tests Diabetes Mellitus Equipment Design
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Delineation of the ischemic stroke lesion based on watershed and relative fuzzy connectedness in brain MRI.

Medical & biological engineering & computing Sep 26, 2017
Precise segmentation of stroke lesions from brain magnetic resonance (MR) images poses a challenging task in automated diagnosis. In this paper, we proposed a new method called watershed-based lesion segmentation algorithm (WLSA), which is a novel in...
Image Interpretation, Computer-Assisted Male Middle Aged Time Factors Algorithms Humans ROC Curve Magnetic Resonance Imaging Brain Female Fuzzy Logic Reproducibility of Results Stroke Brain Ischemia
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Diagnostic accuracy of an artificial neural network compared with statistical quantitation of myocardial perfusion images: a Japanese multicenter study.

European journal of nuclear medicine and molecular imaging Sep 26, 2017
PURPOSE: Artificial neural networks (ANN) might help to diagnose coronary artery disease. This study aimed to determine whether the diagnostic accuracy of an ANN-based diagnostic system and conventional quantitation are comparable.
Image Processing, Computer-Assisted Japan Statistics as Topic Myocardial Perfusion Imaging Female Aged Male ROC Curve Humans Neural Networks, Computer
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Risk Prediction for Portal Vein Thrombosis in Acute Pancreatitis Using Radial Basis Function.

Annals of vascular surgery Sep 22, 2017
BACKGROUND: Acute pancreatitis (AP) can induce portosplenomesenteric vein thrombosis (PVT), which may generate higher morbidity and mortality. However current diagnostic modalities for PVT are still controversial. In recent decades, artificial neural...
Male Middle Aged Risk Assessment ROC Curve Female Adult Sensitivity and Specificity Portal Vein APACHE Pancreatitis Hematologic Tests Logistic Models Models, Theoretical Venous Thrombosis Acute Disease Humans Neural Networks, Computer Biomarkers Retrospective Studies
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Using artificial neural networks to select the parameters for the prognostic of mild cognitive impairment and dementia in elderly individuals.

Computer methods and programs in biomedicine Sep 20, 2017
BACKGROUND AND OBJECTIVES: A huge number of solutions based on computational systems have been recently developed for the classification of cognitive abnormalities in older people, so that individuals at high risk of developing neurodegenerative dise...
Sensitivity and Specificity Prognosis Sex Factors Female Male Dementia Nonlinear Dynamics Humans Aged Middle Aged ROC Curve Early Diagnosis Aged, 80 and over Cognitive Dysfunction Neural Networks, Computer Age Factors Machine Learning Regression Analysis
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A deep learning approach to estimate chemically-treated collagenous tissue nonlinear anisotropic stress-strain responses from microscopy images.

Acta biomaterialia Sep 20, 2017
UNLABELLED: Biological collagenous tissues comprised of networks of collagen fibers are suitable for a broad spectrum of medical applications owing to their attractive mechanical properties. In this study, we developed a noninvasive approach to estim...
Nonlinear Dynamics Cattle Collagen Neural Networks, Computer Glutaral Machine Learning ROC Curve Stress, Mechanical Animals Pericardium Microscopy, Confocal Elasticity Anisotropy Regression Analysis
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Survivability prediction of colon cancer patients using neural networks.

Health informatics journal Sep 19, 2017
We utilize deep neural networks to develop prediction models for patient survival and conditional survival of colon cancer. Our models are trained and validated on data obtained from the Surveillance, Epidemiology, and End Results Program. We provide...
Colonic Neoplasms Survival Analysis Humans Neural Networks, Computer Prognosis ROC Curve Logistic Models
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