AIMC Topic: ROC Curve

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Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy.

Ophthalmology Mar 13, 2018
PURPOSE: Use adjudication to quantify errors in diabetic retinopathy (DR) grading based on individual graders and majority decision, and to train an improved automated algorithm for DR grading.
Reference Standards Ophthalmologists Middle Aged Clinical Competence ROC Curve Mass Screening Humans Diabetic Retinopathy Machine Learning Algorithms Retrospective Studies Female Male
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Biomedical image classification based on a cascade of an SVM with a reject option and subspace analysis.

Computers in biology and medicine Mar 12, 2018
Automated biomedical image classification could confront the challenges of high level noise, image blur, illumination variation and complicated geometric correspondence among various categorical biomedical patterns in practice. To handle these challe...
Diagnostic Imaging Image Interpretation, Computer-Assisted Humans Databases, Factual ROC Curve Support Vector Machine
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Artificial neural network retrained to detect myocardial ischemia using a Japanese multicenter database.

Annals of nuclear medicine Mar 7, 2018
PURPOSE: An artificial neural network (ANN) has been applied to detect myocardial perfusion defects and ischemia. The present study compares the diagnostic accuracy of a more recent ANN version (1.1) with the initial version 1.0.
Humans Neural Networks, Computer Artificial Intelligence Area Under Curve Coronary Angiography Heart Cardiac Surgical Procedures Radiopharmaceuticals Female Aged Male ROC Curve Endovascular Procedures Myocardial Ischemia Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Organotechnetium Compounds Japan Quality Improvement Image Interpretation, Computer-Assisted Databases as Topic
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Predicting urinary tract infections in the emergency department with machine learning.

PloS one Mar 7, 2018
BACKGROUND: Urinary tract infection (UTI) is a common emergency department (ED) diagnosis with reported high diagnostic error rates. Because a urine culture, part of the gold standard for diagnosis of UTI, is usually not available for 24-48 hours aft...
Models, Biological Humans Sensitivity and Specificity Predictive Value of Tests Early Diagnosis Machine Learning Area Under Curve False Negative Reactions Male Retrospective Studies Emergency Service, Hospital Urine Middle Aged Female Urinary Tract Infections False Positive Reactions ROC Curve
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Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.

Ophthalmology Mar 2, 2018
PURPOSE: To assess the performance of a deep learning algorithm for detecting referable glaucomatous optic neuropathy (GON) based on color fundus photographs.
Humans Diagnostic Techniques, Ophthalmological Glaucoma Photography Deep Learning Algorithms Retrospective Studies ROC Curve Fundus Oculi Optic Disk Optic Nerve Diseases
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Prediction of Overall Survival and Novel Classification of Patients with Gastric Cancer Using the Survival Recurrent Network.

Annals of surgical oncology Mar 1, 2018
BACKGROUND: Artificial neural networks (ANNs) have been applied to many prediction and classification problems, and could also be used to develop a prediction model of survival outcomes for cancer patients.
Forecasting Female Aged Stomach Neoplasms Survival Rate Humans Neural Networks, Computer Neoplasm Staging Models, Biological Gastrectomy Kaplan-Meier Estimate Male Chemotherapy, Adjuvant Middle Aged ROC Curve Area Under Curve
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Prediction of rupture risk in anterior communicating artery aneurysms with a feed-forward artificial neural network.

European radiology Feb 23, 2018
OBJECTIVES: Anterior communicating artery (ACOM) aneurysms are the most common intracranial aneurysms, and predicting their rupture risk is challenging. We aimed to predict this risk using a two-layer feed-forward artificial neural network (ANN).
Cerebral Angiography Aneurysm, Ruptured Intracranial Aneurysm Anterior Cerebral Artery Risk Factors Decision Making Predictive Value of Tests Aged Models, Biological Aged, 80 and over Male Computed Tomography Angiography Humans Young Adult Middle Aged Neural Networks, Computer Adult ROC Curve Female Age Factors
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Development and Validation of a Natural Language Processing Tool to Identify Patients Treated for Pneumonia across VA Emergency Departments.

Applied clinical informatics Feb 21, 2018
BACKGROUND: Identifying pneumonia using diagnosis codes alone may be insufficient for research on clinical decision making. Natural language processing (NLP) may enable the inclusion of cases missed by diagnosis codes.
United States Pneumonia Natural Language Processing Emergency Service, Hospital Humans Signal Processing, Computer-Assisted United States Department of Veterans Affairs Reproducibility of Results Cohort Studies ROC Curve
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Predicting the hearing outcome in sudden sensorineural hearing loss via machine learning models.

Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery Feb 20, 2018
OBJECTIVE: Sudden sensorineural hearing loss (SSHL) is a multifactorial disorder with high heterogeneity, thus the outcomes vary widely. This study aimed to develop predictive models based on four machine learning methods for SSHL, identifying the be...
Recovery of Function Predictive Value of Tests Hearing Loss, Sensorineural Hearing Loss, Sudden Machine Learning Adult Humans Prognosis Male Retrospective Studies Middle Aged Female China ROC Curve
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Mortality prediction in intensive care units (ICUs) using a deep rule-based fuzzy classifier.

Journal of biomedical informatics Feb 19, 2018
Electronic health records (EHRs) contain critical information useful for clinical studies. Early assessment of patients' mortality in intensive care units is of great importance. In this paper, a Deep Rule-Based Fuzzy System (DRBFS) was proposed to d...
Humans Neural Networks, Computer Algorithms Intensive Care Units Electronic Health Records Fuzzy Logic Cluster Analysis Reproducibility of Results Decision Trees Deep Learning Bayes Theorem Hospital Mortality ROC Curve
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