AIMC Topic: ROC Curve

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Controlling testing volume for respiratory viruses using machine learning and text mining.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Viral testing for pediatric inpatients with respiratory symptoms is common, with considerable associated charges. In an attempt to reduce testing volumes, we studied whether data available at the time of admission could aid in identifying children wi...
Infant Respiratory Tract Infections Adolescent Virus Diseases Child, Preschool Female ROC Curve Viruses Child Hospitalization Humans Models, Theoretical Sensitivity and Specificity Machine Learning Decision Trees Male Retrospective Studies Data Mining Electronic Health Records
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Structured Pyramidal Neural Networks.

International journal of neural systems Feb 9, 2017
The Pyramidal Neural Networks (PNN) are an example of a successful recently proposed model inspired by the human visual system and deep learning theory. PNNs are applied to computer vision and based on the concept of receptive fields. This paper prop...
Pyramidal Cells Visual Pathways Models, Neurological Area Under Curve Pattern Recognition, Automated Blood Cells Humans Neural Networks, Computer Female Male Time Factors ROC Curve Image Processing, Computer-Assisted Support Vector Machine
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Gradient Boosted Decision Tree Classification of Endophthalmitis Versus Uveitis and Lymphoma from Aqueous and Vitreous IL-6 and IL-10 Levels.

Journal of ocular pharmacology and therapeutics : the official journal of the Association for Ocular Pharmacology and Therapeutics Feb 3, 2017
PURPOSE: To investigate the effectiveness of gradient boosting to classify endophthalmitis versus uveitis and lymphoma by intraocular cytokine levels.
Humans Machine Learning Lymphoma Decision Trees Data Interpretation, Statistical Uveitis Interleukin-10 Interleukin-6 Water ROC Curve Endophthalmitis
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Artificial neural networks predict the incidence of portosplenomesenteric venous thrombosis in patients with acute pancreatitis.

Journal of thrombosis and haemostasis : JTH Feb 3, 2017
UNLABELLED: Essentials Predicting the occurrence of portosplenomesenteric vein thrombosis (PSMVT) is difficult. We studied 72 patients with acute pancreatitis. Artificial neural networks modeling was more accurate than logistic regression in predicti...
Young Adult Adult Humans Male ROC Curve Software Neural Networks, Computer Acute Disease Middle Aged Logistic Models Pattern Recognition, Automated Retrospective Studies Venous Thrombosis Ultrasonography, Doppler Female Regression Analysis Pancreatitis Aged
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Enhancing the Biological Relevance of Machine Learning Classifiers for Reverse Vaccinology.

International journal of molecular sciences Feb 1, 2017
Reverse vaccinology (RV) is a bioinformatics approach that can predict antigens with protective potential from the protein coding genomes of bacterial pathogens for subunit vaccine design. RV has become firmly established following the development of...
Epitopes Computational Biology Humans Epitope Mapping Mutagenesis Vaccines, Subunit Machine Learning Antigens, Bacterial Support Vector Machine ROC Curve Bacterial Vaccines Area Under Curve Bacterial Proteins
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Classification of sphingosine kinase inhibitors using counter propagation artificial neural networks: A systematic route for designing selective SphK inhibitors.

SAR and QSAR in environmental research Jan 25, 2017
Accurate and robust classification models for describing and predicting the activity of 330 chemicals that are sphingosine kinase 1 (SphK1) and/or sphingosine kinase 2 (SphK2) inhibitors were derived. The classification models developed in this work ...
Chemistry, Pharmaceutical Phosphotransferases (Alcohol Group Acceptor) Computer Simulation Drug Discovery ROC Curve Enzyme Inhibitors Neural Networks, Computer Algorithms
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Predicting prostate tumour location from multiparametric MRI using Gaussian kernel support vector machines: a preliminary study.

Australasian physical & engineering sciences in medicine Jan 24, 2017
The performance of a support vector machine (SVM) algorithm was investigated to predict prostate tumour location using multi-parametric MRI (mpMRI) data. The purpose was to obtain information of prostate tumour location for the implementation of bio-...
Male Middle Aged ROC Curve Support Vector Machine Magnetic Resonance Imaging Area Under Curve Prostatic Neoplasms Humans Aged
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A Comparison of a Machine Learning Model with EuroSCORE II in Predicting Mortality after Elective Cardiac Surgery: A Decision Curve Analysis.

PloS one Jan 6, 2017
BACKGROUND: The benefits of cardiac surgery are sometimes difficult to predict and the decision to operate on a given individual is complex. Machine Learning and Decision Curve Analysis (DCA) are recent methods developed to create and evaluate predic...
Humans Hospital Mortality ROC Curve Logistic Models Models, Statistical Aged Machine Learning Cardiac Surgical Procedures Male Decision Support Techniques Cardiopulmonary Bypass Middle Aged Female Comorbidity Reproducibility of Results
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SVM and SVM Ensembles in Breast Cancer Prediction.

PloS one Jan 6, 2017
Breast cancer is an all too common disease in women, making how to effectively predict it an active research problem. A number of statistical and machine learning techniques have been employed to develop various breast cancer prediction models. Among...
ROC Curve Support Vector Machine Models, Biological Datasets as Topic Algorithms Humans Female Machine Learning Reproducibility of Results Breast Neoplasms
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Diagnostic Method of Diabetes Based on Support Vector Machine and Tongue Images.

BioMed research international Jan 4, 2017
. The purpose of this research is to develop a diagnostic method of diabetes based on standardized tongue image using support vector machine (SVM). Tongue images of 296 diabetic subjects and 531 nondiabetic subjects were collected by the TDA-1 digit...
Female Sensitivity and Specificity Male Middle Aged Principal Component Analysis ROC Curve Tongue Humans Image Processing, Computer-Assisted Diabetes Mellitus Support Vector Machine
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