AIMC Topic: ROC Curve

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Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning.

Acta ophthalmologica Jul 25, 2019
PURPOSE: To assess the use of deep learning (DL) for computer-assisted glaucoma identification, and the impact of training using images selected by an active learning strategy, which minimizes labelling cost. Additionally, this study focuses on the e...
Deep Learning Humans ROC Curve Glaucoma Retrospective Studies Follow-Up Studies Diagnosis, Computer-Assisted Fundus Oculi Optic Disk
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Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs.

Clinical & experimental ophthalmology Jul 25, 2019
IMPORTANCE: Detection of early onset neovascular age-related macular degeneration (AMD) is critical to protecting vision.
Middle Aged Fluorescein Angiography Predictive Value of Tests Diagnosis, Computer-Assisted Wet Macular Degeneration Female Humans Area Under Curve Deep Learning Photography Reproducibility of Results Fundus Oculi Algorithms ROC Curve Ophthalmologists Sensitivity and Specificity Male Choroidal Neovascularization False Positive Reactions Retrospective Studies Visual Acuity
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Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks.

International journal of molecular sciences Jul 25, 2019
Identification of disease-associated miRNAs (disease miRNAs) are critical for understanding etiology and pathogenesis. Most previous methods focus on integrating similarities and associating information contained in heterogeneous miRNA-disease networ...
ROC Curve Genetic Predisposition to Disease Computational Biology Humans Databases, Genetic Models, Biological Neural Networks, Computer MicroRNAs Algorithms Deep Learning
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Inferring Drug-Related Diseases Based on Convolutional Neural Network and Gated Recurrent Unit.

Molecules (Basel, Switzerland) Jul 25, 2019
Predicting novel uses for drugs using their chemical, pharmacological, and indication information contributes to minimizing costs and development periods. Most previous prediction methods focused on integrating the similarity and association informat...
Reproducibility of Results Humans Deep Learning Neural Networks, Computer ROC Curve Algorithms Models, Theoretical Drug-Related Side Effects and Adverse Reactions
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Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and Cadmium.

International journal of environmental research and public health Jul 25, 2019
Lead, mercury, and cadmium are common environmental pollutants in industrialized countries, but their combined impact on hypercholesterolemia (HC) is poorly understood. The aim of this study was to compare the performance of various machine learning ...
Logistic Models Support Vector Machine Lead Decision Trees Environmental Pollutants Female Environmental Exposure Adult Mercury Humans Male Cadmium Machine Learning Middle Aged Hypercholesterolemia Forecasting ROC Curve Republic of Korea
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Development and rigorous validation of antimalarial predictive models using machine learning approaches.

SAR and QSAR in environmental research Jul 22, 2019
The large collection of known and experimentally verified compounds from the ChEMBL database was used to build different classification models for predicting the antimalarial activity against . Four different machine learning methods, namely the supp...
Machine Learning Drug Design ROC Curve Area Under Curve Antimalarials Quantitative Structure-Activity Relationship
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Artificial neural networks accurately predict intra-abdominal infection in moderately severe and severe acute pancreatitis.

Journal of digestive diseases Jul 21, 2019
OBJECTIVE: The aim of this study was to evaluate the efficacy of artificial neural networks (ANN) in predicting intra-abdominal infection in moderately severe (MASP) and severe acute pancreatitis (SAP) compared with that of a logistic regression mode...
Logistic Models Predictive Value of Tests Models, Biological APACHE Pancreatitis Intraabdominal Infections Male Middle Aged Severity of Illness Index ROC Curve Retrospective Studies Female Risk Factors Adult Humans Neural Networks, Computer Prognosis
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Noninvasive Evaluation of Liver Fibrosis Reverse Using Artificial Neural Network Model for Chronic Hepatitis B Patients.

Computational and mathematical methods in medicine Jul 21, 2019
The diagnostic performance of an artificial neural network model for chronic HBV-induced liver fibrosis reverse is not well established. Our research aims to construct an ANN model for estimating noninvasive predictors of fibrosis reverse in chronic ...
Humans Biopsy China Female Neural Networks, Computer Models, Biological ROC Curve Adult Prospective Studies Hepatitis B, Chronic Male Liver Cirrhosis Remission Induction Biomarkers Middle Aged Liver Mathematical Concepts
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Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data.

Scientific reports Jul 19, 2019
Breast lesion detection employing state of the art microwave systems provide a safe, non-ionizing technique that can differentiate healthy and non-healthy tissues by exploiting their dielectric properties. In this paper, a microwave apparatus for bre...
Magnetic Resonance Imaging Mammography Equipment Design Ultrasonography, Mammary Breast Female Breast Neoplasms ROC Curve Support Vector Machine Microwave Imaging Clinical Trials as Topic Statistics, Nonparametric Dielectric Spectroscopy Scattering, Radiation Humans Neural Networks, Computer Algorithms
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Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data.

Scientific reports Jul 17, 2019
Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machin...
Humans Neural Networks, Computer Female Male Area Under Curve Crohn Disease Polymorphism, Single Nucleotide Alleles Genotype Nonlinear Dynamics Logistic Models Deep Learning Genotyping Techniques Models, Genetic Genome-Wide Association Study INDEL Mutation Decision Trees ROC Curve Genetic Predisposition to Disease
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