AIMC Topic: ROC Curve

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Automated deep-neural-network surveillance of cranial images for acute neurologic events.

Nature medicine Aug 13, 2018
Rapid diagnosis and treatment of acute neurological illnesses such as stroke, hemorrhage, and hydrocephalus are critical to achieving positive outcomes and preserving neurologic function-'time is brain'. Although these disorders are often recognizabl...
Skull ROC Curve Imaging, Three-Dimensional Randomized Controlled Trials as Topic Automation Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed
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Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms.

BMC bioinformatics Aug 13, 2018
BACKGROUND: The risk factors of diabetic retinopathy (DR) were investigated extensively in the past studies, but it remains unknown which risk factors were more associated with the DR than others. If we can detect the DR related risk factors more acc...
Machine Learning Middle Aged Aged Humans ROC Curve Aged, 80 and over Algorithms Diabetic Retinopathy Decision Support Systems, Clinical Adult Female Neural Networks, Computer Diabetes Mellitus, Type 2 Male Risk Factors
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Prediction of Acquired Taxane Resistance Using a Personalized Pathway-Based Machine Learning Method.

Cancer research and treatment Aug 10, 2018
PURPOSE: This study was conducted to develop and validate an individualized prediction model for automated detection of acquired taxane resistance (ATR).
Taxoids Bridged-Ring Compounds ROC Curve Machine Learning Databases, Genetic Models, Statistical Algorithms Reproducibility of Results Drug Resistance, Neoplasm Precision Medicine Antineoplastic Agents Gene Expression Profiling Pharmacogenetics
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Skin lesion classification with ensembles of deep convolutional neural networks.

Journal of biomedical informatics Aug 10, 2018
Skin cancer is a major public health problem with over 123,000 newly diagnosed cases worldwide in every year. Melanoma is the deadliest form of skin cancer, responsible for over 9000 deaths in the United States each year. Thus, reliable automatic mel...
Humans Neural Networks, Computer Machine Learning Keratosis, Seborrheic Algorithms Melanocytes Diagnosis, Computer-Assisted Databases, Factual ROC Curve Melanoma Image Processing, Computer-Assisted Skin Neoplasms Nevus Dermoscopy
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Clinical prediction of HBV and HCV related hepatic fibrosis using machine learning.

EBioMedicine Aug 10, 2018
Clinical prediction of advanced hepatic fibrosis (HF) and cirrhosis has long been challenging due to the gold standard, liver biopsy, being an invasive approach with certain limitations. Less invasive blood test tandem with a cutting-edge machine lea...
Models, Biological Hepacivirus Hepatitis B virus Humans Liver Cirrhosis Area Under Curve Machine Learning Internet Female Middle Aged Reproducibility of Results Cohort Studies Adult ROC Curve Male
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Identifying Phage Virion Proteins by Using Two-Step Feature Selection Methods.

Molecules (Basel, Switzerland) Aug 10, 2018
Accurate identification of phage virion protein is not only a key step for understanding the function of the phage virion protein but also helpful for further understanding the lysis mechanism of the bacterial cell. Since traditional experimental met...
Analysis of Variance Bacteriophages Viral Proteins Virion ROC Curve Computational Biology Support Vector Machine Databases, Protein Algorithms Reproducibility of Results
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Computer-aided detection of small intestinal ulcer and erosion in wireless capsule endoscopy images.

Physics in medicine and biology Aug 10, 2018
A novel computer-aided detection method based on deep learning framework was proposed to detect small intestinal ulcer and erosion in wireless capsule endoscopy (WCE) images. To the best of our knowledge, this is the first time that deep learning fra...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Capsule Endoscopy Intestine, Small Ulcer Case-Control Studies Diagnosis, Computer-Assisted Deep Learning ROC Curve
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Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images.

International journal of computer assisted radiology and surgery Aug 9, 2018
PURPOSE: The nonalcoholic fatty liver disease is the most common liver abnormality. Up to date, liver biopsy is the reference standard for direct liver steatosis quantification in hepatic tissue samples. In this paper we propose a neural network-base...
Humans Neural Networks, Computer Algorithms Liver Female Ultrasonography Adult ROC Curve Male Fatty Liver Support Vector Machine
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Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence.

American journal of ophthalmology Aug 9, 2018
PURPOSE: To improve the detection of corneal ectasia susceptibility using tomographic data.
Case-Control Studies ROC Curve Keratoconus Corneal Topography Dilatation, Pathologic Cornea Male Middle Aged Slit Lamp Microscopy Diagnostic Techniques, Ophthalmological Keratomileusis, Laser In Situ Tomography Corneal Pachymetry Humans Artificial Intelligence Retrospective Studies Female Adult Sensitivity and Specificity
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Multiscaled Fusion of Deep Convolutional Neural Networks for Screening Atrial Fibrillation From Single Lead Short ECG Recordings.

IEEE journal of biomedical and health informatics Aug 7, 2018
Atrial fibrillation (AF) is one of the most common sustained chronic cardiac arrhythmia in elderly population, associated with a high mortality and morbidity in stroke, heart failure, coronary artery disease, systemic thromboembolism, etc. The early ...
ROC Curve Electrocardiography Signal Processing, Computer-Assisted Humans Atrial Fibrillation Neural Networks, Computer Algorithms
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