AIMC Topic: Area Under Curve

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A Deep Learning Model for Predicting Xerostomia Due to Radiation Therapy for Head and Neck Squamous Cell Carcinoma in the RTOG 0522 Clinical Trial.

International journal of radiation oncology, biology, physics Jun 13, 2019
PURPOSE: Xerostomia commonly occurs in patients who undergo head and neck radiation therapy and can seriously affect patients' quality of life. In this study, we developed a xerostomia prediction model with radiation treatment data using a 3-dimensio...
Tomography, X-Ray Computed Deep Learning ROC Curve Logistic Models Squamous Cell Carcinoma of Head and Neck Humans Retrospective Studies Radiotherapy, Image-Guided Submandibular Gland Laryngeal Neoplasms Area Under Curve Pharyngeal Neoplasms Xerostomia Parotid Gland Oropharyngeal Neoplasms Hypopharyngeal Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy, Conformal
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Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.

BMC bioinformatics Jun 13, 2019
BACKGROUND: Ontology has attracted substantial attention from both academia and industry. Handling uncertainty reasoning is important in researching ontology. For example, when a patient is suffering from cirrhosis, the appearance of abdominal vein v...
Knowledge Bases Probability Disease Diagnostic Techniques and Procedures Humans ROC Curve Area Under Curve Algorithms Bayes Theorem Electronic Health Records
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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).
Deep Learning Image Processing, Computer-Assisted Area Under Curve Diagnostic Techniques, Ophthalmological Aged, 80 and over Humans Geographic Atrophy Photography Sensitivity and Specificity Female Physical Examination Male Reproducibility of Results Aged Middle Aged
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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 Neoplasm Grading Middle Aged Retrospective Studies Radiologists Clinical Competence Sensitivity and Specificity Biopsy Area Under Curve Male Image Interpretation, Computer-Assisted Prostatic Neoplasms Diffusion Magnetic Resonance Imaging
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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 Female Hepatitis B Surface Antigens Middle Aged Humans DNA, Viral Decision Trees China Machine Learning Reproducibility of Results Area Under Curve Regression Analysis ROC Curve Computer Simulation Adult Hepatitis B, Chronic 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...
Humans Area Under Curve Supervised Machine Learning PubMed Abstracting and Indexing Data Mining Medical Subject Headings Semantics 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...
Risk Assessment ROC Curve Support Vector Machine Area Under Curve Software Databases, Factual Computer Simulation Colorectal Neoplasms Spain Computer Graphics Humans Neural Networks, Computer
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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.
Image Interpretation, Computer-Assisted Algorithms Middle Aged Datasets as Topic Female Adult Deep Learning Humans Retinal Diseases Aged Sensitivity and Specificity ROC Curve Neural Networks, Computer Aged, 80 and over Cross-Sectional Studies Area Under Curve Machine Learning Male Fundus Oculi
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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...
Humans Databases, Genetic Area Under Curve Cardiotoxicity Neural Networks, Computer Guinea Pigs Machine Learning Ether-A-Go-Go Potassium Channels Animals ROC Curve
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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...
Protein Binding Mice Proteome Databases, Protein Alleles Histocompatibility Antigens Class I Area Under Curve Models, Biological Neural Networks, Computer Humans Software Animals Peptides
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