AIMC Topic: ROC Curve

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Rule Extraction Based on Extreme Learning Machine and an Improved Ant-Miner Algorithm for Transient Stability Assessment.

PloS one Jun 19, 2015
In order to overcome the problems of poor understandability of the pattern recognition-based transient stability assessment (PRTSA) methods, a new rule extraction method based on extreme learning machine (ELM) and an improved Ant-miner (IAM) algorith...
Pattern Recognition, Automated Machine Learning Algorithms ROC Curve Area Under Curve
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Distributed One-Class Support Vector Machine.

International journal of neural systems Jun 15, 2015
This paper presents a novel distributed one-class classification approach based on an extension of the ν-SVM method, thus permitting its application to Big Data data sets. In our method we will consider several one-class classifiers, each one determi...
Computer Simulation ROC Curve Support Vector Machine
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Teaching a Machine to Feel Postoperative Pain: Combining High-Dimensional Clinical Data with Machine Learning Algorithms to Forecast Acute Postoperative Pain.

Pain medicine (Malden, Mass.) May 29, 2015
BACKGROUND: Given their ability to process highly dimensional datasets with hundreds of variables, machine learning algorithms may offer one solution to the vexing challenge of predicting postoperative pain.
Logistic Models Decision Trees Pain, Postoperative Humans Neural Networks, Computer Machine Learning Algorithms Retrospective Studies ROC Curve
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Applying artificial neural networks to predict communication risks in the emergency department.

Journal of advanced nursing May 25, 2015
AIMS: To describe the utility of artificial neural networks in predicting communication risks.
Neural Networks, Computer Female Risk Factors Aged Humans Clinical Competence ROC Curve Emergency Nursing Emergency Service, Hospital Italy Adult Communication Male Middle Aged
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Prediction of in-hospital mortality after ruptured abdominal aortic aneurysm repair using an artificial neural network.

Journal of vascular surgery May 5, 2015
OBJECTIVE: Ruptured abdominal aortic aneurysm (rAAA) carries a high mortality rate, even with prompt transfer to a medical center. An artificial neural network (ANN) is a computational model that improves predictive ability through pattern recognitio...
Area Under Curve Shock Multivariate Analysis Odds Ratio Treatment Outcome Age Factors Predictive Value of Tests Aortic Aneurysm, Abdominal Unconsciousness Aortic Rupture Blood Vessel Prosthesis Implantation Endovascular Procedures Tennessee Heart Arrest Aged Aged, 80 and over Male Middle Aged Databases, Factual Humans Retrospective Studies Risk Assessment Neural Networks, Computer Hospital Mortality Female Time Factors Algorithms ROC Curve Risk Factors Decision Support Techniques Logistic Models
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Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches.

Burns : journal of the International Society for Burn Injuries Apr 27, 2015
INTRODUCTION: Predicting mortality from burn injury has traditionally employed logistic regression models. Alternative machine learning methods have been introduced in some areas of clinical prediction as the necessary software and computational faci...
Young Adult Adult Male Risk Assessment Adolescent Child, Preschool Child Infant England Machine Learning Software Decision Support Techniques Female Humans Neural Networks, Computer Models, Statistical ROC Curve Bayes Theorem Logistic Models Body Surface Area Registries Support Vector Machine Burns Wales Age Factors Smoke Inhalation Injury
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An unsupervised feature learning framework for basal cell carcinoma image analysis.

Artificial intelligence in medicine Apr 23, 2015
OBJECTIVE: The paper addresses the problem of automatic detection of basal cell carcinoma (BCC) in histopathology images. In particular, it proposes a framework to both, learn the image representation in an unsupervised way and visualize discriminati...
Decision Support Techniques Image Interpretation, Computer-Assisted Automation, Laboratory Pathology, Clinical Skin Neoplasms Carcinoma, Basal Cell Humans Unsupervised Machine Learning Reproducibility of Results Predictive Value of Tests Area Under Curve ROC Curve Decision Support Systems, Clinical Discriminant Analysis Staining and Labeling Biopsy
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Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks.

IEEE journal of biomedical and health informatics Apr 21, 2015
Automatic localization of the standard plane containing complicated anatomical structures in ultrasound (US) videos remains a challenging problem. In this paper, we present a learning-based approach to locate the fetal abdominal standard plane (FASP)...
Image Processing, Computer-Assisted Abdomen Fetus Humans Female Ultrasonography, Prenatal ROC Curve Neural Networks, Computer Pregnancy
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Combining latent class analysis labeling with multiclass approach for fetal heart rate categorization.

Physiological measurement Apr 20, 2015
The most common approach to assess fetal well-being during delivery is monitoring of fetal heart rate and uterine contractions-the cardiotocogram (CTG). Nevertheless, 40 years since the introduction of CTG to clinical practice, its evaluation is stil...
Observer Variation Heart Rate, Fetal Algorithms ROC Curve Cardiotocography Signal Processing, Computer-Assisted Machine Learning
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Robust phase-based texture descriptor for classification of breast ultrasound images.

Biomedical engineering online Mar 24, 2015
BACKGROUND: Classification of breast ultrasound (BUS) images is an important step in the computer-aided diagnosis (CAD) system for breast cancer. In this paper, a novel phase-based texture descriptor is proposed for efficient and robust classifiers t...
Fibroadenoma Papilloma, Intraductal Physical Phenomena Diagnosis, Computer-Assisted Humans ROC Curve Area Under Curve Female Support Vector Machine Carcinoma Breast Neoplasms Diagnosis, Differential Ultrasonography, Mammary Scattering, Radiation
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