AIMC Topic: ROC Curve

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Deep Learning to Classify Radiology Free-Text Reports.

Radiology Nov 13, 2017
Purpose To evaluate the performance of a deep learning convolutional neural network (CNN) model compared with a traditional natural language processing (NLP) model in extracting pulmonary embolism (PE) findings from thoracic computed tomography (CT) ...
Radiography, Thoracic ROC Curve Natural Language Processing Pulmonary Embolism Humans Neural Networks, Computer Machine Learning Algorithms Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity
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Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning.

Scientific reports Nov 13, 2017
Prostate cancer (PCa) is a major cause of death since ancient time documented in Egyptian Ptolemaic mummy imaging. PCa detection is critical to personalized medicine and varies considerably under an MRI scan. 172 patients with 2,602 morphologic image...
Prostatic Neoplasms Prostate Image Interpretation, Computer-Assisted Prostatitis Aged, 80 and over Male Middle Aged Deep Learning ROC Curve Magnetic Resonance Imaging Diagnosis, Differential Prostatic Hyperplasia Humans Retrospective Studies Aged
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OCT-based deep learning algorithm for the evaluation of treatment indication with anti-vascular endothelial growth factor medications.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Nov 10, 2017
PURPOSE: Intravitreal injections with anti-vascular endothelial growth factor (anti-VEGF) medications have become the standard of care for their respective indications. Optical coherence tomography (OCT) scans of the central retina provide detailed a...
Humans Diabetic Retinopathy Neural Networks, Computer Machine Learning Macular Edema Vascular Endothelial Growth Factor A Angiogenesis Inducing Agents Algorithms Retrospective Studies ROC Curve Tomography, Optical Coherence
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Disease Gene Prediction by Integrating PPI Networks, Clinical RNA-Seq Data and OMIM Data.

IEEE/ACM transactions on computational biology and bioinformatics Nov 7, 2017
Disease gene prediction is a challenging task that has a variety of applications such as early diagnosis and drug development. The existing machine learning methods suffer from the imbalanced sample issue because the number of known disease genes (po...
RNA Protein Interaction Maps Computational Biology Humans Sequence Analysis, RNA Neoplasms Databases, Genetic ROC Curve
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Support Vector Machines (SVM) classification of prostate cancer Gleason score in central gland using multiparametric magnetic resonance images: A cross-validated study.

European journal of radiology Nov 6, 2017
PURPOSE: To assess the performance of Support Vector Machines (SVM) classification to stratify the Gleason Score (GS) of prostate cancer (PCa) in the central gland (CG) based on image features across multiparametric magnetic resonance imaging (mpMRI)...
Humans Retrospective Studies Reproducibility of Results Prostate Aged Support Vector Machine Male Middle Aged Magnetic Resonance Imaging ROC Curve Prostatic Neoplasms Neoplasm Grading
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Glypre: In Silico Prediction of Protein Glycation Sites by Fusing Multiple Features and Support Vector Machine.

Molecules (Basel, Switzerland) Nov 3, 2017
Glycation is a non-enzymatic process occurring inside or outside the host body by attaching a sugar molecule to a protein or lipid molecule. It is an important form of post-translational modification (PTM), which impairs the function and changes the ...
Area Under Curve Amino Acids Lysine Binding Sites ROC Curve Glycosylation Support Vector Machine Proteins Algorithms Computer Simulation Sensitivity and Specificity
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Ensemble based on static classifier selection for automated diagnosis of Mild Cognitive Impairment.

Journal of neuroscience methods Nov 2, 2017
BACKGROUND: Alzheimer's disease (AD) is the most common cause of neurodegenerative dementia in the elderly population. Scientific research is very active in the challenge of designing automated approaches to achieve an early and certain diagnosis. Re...
Humans Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Early Diagnosis Male Databases, Factual Cognitive Dysfunction Pattern Recognition, Automated Brain ROC Curve Female Support Vector Machine Aged
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Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution.

The Science of the total environment Nov 1, 2017
Floods are among Earth's most common natural hazards, and they cause major economic losses and seriously affect peoples' lives and health. This paper addresses the development of a flood susceptibility assessment that uses intelligent techniques and ...
ROC Curve Fuzzy Logic Area Under Curve Floods Neural Networks, Computer Algorithms Risk Assessment China
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MRI features predict p53 status in lower-grade gliomas via a machine-learning approach.

NeuroImage. Clinical Oct 29, 2017
BACKGROUND: P53 mutation status is a pivotal biomarker for gliomas. Here, we developed a machine-learning model to predict p53 status in lower-grade gliomas based on radiomic features extracted from conventional magnetic resonance (MR) images.
Child, Preschool Humans Female Glioma Brain Neoplasms Child Machine Learning Aged Magnetic Resonance Imaging Male ROC Curve Retrospective Studies Young Adult Mutation Middle Aged Image Processing, Computer-Assisted Adult Tumor Suppressor Protein p53 Adolescent
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Validation of an online risk calculator for the prediction of anastomotic leak after colon cancer surgery and preliminary exploration of artificial intelligence-based analytics.

Techniques in coloproctology Oct 28, 2017
BACKGROUND: Recently published data support the use of a web-based risk calculator ( www.anastomoticleak.com ) for the prediction of anastomotic leak after colectomy. The aim of this study was to externally validate this calculator on a larger datase...
Internet Colonic Neoplasms Colectomy Anastomotic Leak Reoperation Middle Aged Risk Assessment ROC Curve Area Under Curve Risk Factors Humans Aged Artificial Intelligence Aged, 80 and over Algorithms Male Female
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