AIMC Topic:
ROC Curve

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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.
Male Middle Aged Diagnosis, Computer-Assisted Deep Learning ROC Curve Retrospective Studies Female Reproducibility of Results Sensitivity and Specificity Humans Fluorescein Angiography Algorithms Wet Macular Degeneration Photography Ophthalmologists Choroidal Neovascularization Visual Acuity Predictive Value of Tests Area Under Curve Fundus Oculi False Positive Reactions
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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...
Genetic Predisposition to Disease Computational Biology Databases, Genetic Neural Networks, Computer Humans Algorithms MicroRNAs Deep Learning Models, Biological ROC Curve
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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...
ROC Curve Models, Theoretical Drug-Related Side Effects and Adverse Reactions Humans Neural Networks, Computer Algorithms Reproducibility of Results Deep Learning
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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 ...
Lead Decision Trees Environmental Pollutants Environmental Exposure Mercury Cadmium Hypercholesterolemia Humans Male Machine Learning Middle Aged Forecasting ROC Curve Republic of Korea Logistic Models Female Support Vector Machine Adult
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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...
Adult Intraabdominal Infections Male Middle Aged Neural Networks, Computer Humans Severity of Illness Index Logistic Models Prognosis Predictive Value of Tests ROC Curve Retrospective Studies Models, Biological Female APACHE Risk Factors Pancreatitis
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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 ...
ROC Curve Female Humans Models, Biological Liver Cirrhosis Adult Neural Networks, Computer Hepatitis B, Chronic Liver Male Prospective Studies Remission Induction Biopsy Middle Aged Biomarkers Mathematical Concepts China
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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...
Mammography Equipment Design Ultrasonography, Mammary Breast Clinical Trials as Topic Female Statistics, Nonparametric Breast Neoplasms Dielectric Spectroscopy ROC Curve Scattering, Radiation Support Vector Machine Microwave Imaging Humans Magnetic Resonance Imaging 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 Models, Genetic Decision Trees Area Under Curve Crohn Disease Alleles Nonlinear Dynamics Genotyping Techniques INDEL Mutation ROC Curve Genetic Predisposition to Disease Polymorphism, Single Nucleotide Genotype Logistic Models Female Male Deep Learning Genome-Wide Association Study
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Machine Learning-Based Predictive Modeling of Surgical Intervention in Glaucoma Using Systemic Data From Electronic Health Records.

American journal of ophthalmology Jul 16, 2019
PURPOSE: To predict the need for surgical intervention in patients with primary open-angle glaucoma (POAG) using systemic data in electronic health records (EHRs).
Reproducibility of Results Aged Aged, 80 and over Sensitivity and Specificity Intraocular Pressure Machine Learning Retrospective Studies Electronic Health Records Female Odds Ratio Glaucoma, Open-Angle Filtering Surgery Male Middle Aged Disease Progression ROC Curve Models, Statistical Humans
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