AI Medical Compendium Topic:
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A Deep Learning Approach for Automated Detection of Geographic Atrophy from Color Fundus Photographs.

Ophthalmology Jun 11, 2019
PURPOSE: To assess the utility of deep learning in the detection of geographic atrophy (GA) from color fundus photographs and to explore potential utility in detecting central GA (CGA).
Female Reproducibility of Results Aged Aged, 80 and over Sensitivity and Specificity Humans Geographic Atrophy Area Under Curve Diagnostic Techniques, Ophthalmological Photography Physical Examination Male Middle Aged Deep Learning Image Processing, Computer-Assisted
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Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists.

European radiology Jun 11, 2019
OBJECTIVE: The purpose of this study was: To test whether machine learning classifiers for transition zone (TZ) and peripheral zone (PZ) can correctly classify prostate tumors into those with/without a Gleason 4 component, and to compare the performa...
Humans Machine Learning Retrospective Studies Sensitivity and Specificity Male Middle Aged Neoplasm Grading Biopsy Clinical Competence Radiologists Image Interpretation, Computer-Assisted Area Under Curve Diffusion Magnetic Resonance Imaging Prostatic Neoplasms
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Using Machine Learning Algorithms to Predict Hepatitis B Surface Antigen Seroclearance.

Computational and mathematical methods in medicine Jun 11, 2019
Hepatitis B surface antigen (HBsAg) seroclearance during treatment is associated with a better prognosis among patients with chronic hepatitis B (CHB). Significant gaps remain in our understanding on how to predict HBsAg seroclearance accurately and ...
Male Hepatitis B Surface Antigens Middle Aged China Female DNA, Viral ROC Curve Decision Trees Humans Reproducibility of Results Area Under Curve Machine Learning Hepatitis B, Chronic Regression Analysis Computer Simulation Adult Prognosis Sensitivity and Specificity
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Distant supervision for treatment relation extraction by leveraging MeSH subheadings.

Artificial intelligence in medicine Jun 7, 2019
The growing body of knowledge in biomedicine is too vast for human consumption. Hence there is a need for automated systems able to navigate and distill the emerging wealth of information. One fundamental task to that end is relation extraction, wher...
Supervised Machine Learning PubMed Data Mining Semantics Humans Area Under Curve Abstracting and Indexing Medical Subject Headings Crowdsourcing
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A comparative study on feature selection for a risk prediction model for colorectal cancer.

Computer methods and programs in biomedicine Jun 4, 2019
BACKGROUND AND OBJECTIVE: Risk prediction models aim at identifying people at higher risk of developing a target disease. Feature selection is particularly important to improve the prediction model performance avoiding overfitting and to identify the...
Support Vector Machine Area Under Curve Spain Humans Computer Graphics Neural Networks, Computer Software Colorectal Neoplasms Risk Assessment ROC Curve Databases, Factual Computer Simulation
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Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images.

Ophthalmology May 31, 2019
PURPOSE: To develop and evaluate deep learning models that screen multiple abnormal findings in retinal fundus images.
Male Middle Aged Deep Learning ROC Curve Image Interpretation, Computer-Assisted Datasets as Topic Retinal Diseases Area Under Curve Fundus Oculi Aged, 80 and over Humans Adult Neural Networks, Computer Sensitivity and Specificity Machine Learning Cross-Sectional Studies Algorithms Female Aged
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Computational determination of hERG-related cardiotoxicity of drug candidates.

BMC bioinformatics May 29, 2019
BACKGROUND: Drug candidates often cause an unwanted blockage of the potassium ion channel of the human ether-a-go-go-related gene (hERG). The blockage leads to long QT syndrome (LQTS), which is a severe life-threatening cardiac side effect. Therefore...
Ether-A-Go-Go Potassium Channels Databases, Genetic Machine Learning Area Under Curve Animals Cardiotoxicity Humans ROC Curve Guinea Pigs Neural Networks, Computer
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MHCSeqNet: a deep neural network model for universal MHC binding prediction.

BMC bioinformatics May 28, 2019
BACKGROUND: Immunotherapy is an emerging approach in cancer treatment that activates the host immune system to destroy cancer cells expressing unique peptide signatures (neoepitopes). Administrations of cancer-specific neoepitopes in the form of synt...
Area Under Curve Peptides Models, Biological Humans Protein Binding Mice Alleles Neural Networks, Computer Proteome Histocompatibility Antigens Class I Software Databases, Protein Animals
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Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning.

BMC bioinformatics May 28, 2019
BACKGROUND: The recent success of immunotherapy in treating tumors has attracted increasing interest in research related to the adaptive immune system in the tumor microenvironment. Recent advances in next-generation sequencing technology enabled the...
Complementarity Determining Regions Receptors, Antigen, B-Cell ROC Curve Immunity, Humoral Databases, Genetic Area Under Curve Immunoglobulins High-Throughput Nucleotide Sequencing Amino Acid Motifs Supervised Machine Learning Humans Amino Acid Sequence Algorithms Tumor Microenvironment
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Gene shaving using a sensitivity analysis of kernel based machine learning approach, with applications to cancer data.

PloS one May 23, 2019
BACKGROUND: Gene shaving (GS) is an essential and challenging tools for biomedical researchers due to the large number of genes in human genome and the complex nature of biological networks. Most GS methods are not applicable to non-linear and multi-...
Software Algorithms Computer Simulation Gene Expression Profiling Humans Artificial Intelligence Machine Learning Computational Biology Area Under Curve Colonic Neoplasms Nonlinear Dynamics Genetic Techniques False Positive Reactions Oligonucleotide Array Sequence Analysis
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