AIMC Topic: ROC Curve

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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...
Aged Young Adult Adult Male Neural Networks, Computer Software Retrospective Studies Female Regression Analysis Acute Disease Pattern Recognition, Automated Ultrasonography, Doppler Pancreatitis Middle Aged ROC Curve Logistic Models Venous Thrombosis Humans
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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...
Bacterial Proteins Epitopes Mutagenesis Antigens, Bacterial Bacterial Vaccines Epitope Mapping Vaccines, Subunit Humans Machine Learning ROC Curve Computational Biology Support Vector Machine Area Under Curve
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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 ...
Neural Networks, Computer Algorithms Phosphotransferases (Alcohol Group Acceptor) ROC Curve Enzyme Inhibitors Chemistry, Pharmaceutical Computer Simulation Drug Discovery
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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-...
Area Under Curve Prostatic Neoplasms Middle Aged ROC Curve Support Vector Machine Humans Magnetic Resonance Imaging Aged Male
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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...
ROC Curve Logistic Models Models, Statistical Cardiac Surgical Procedures Male Middle Aged Comorbidity Hospital Mortality Cardiopulmonary Bypass Humans Machine Learning Decision Support Techniques Female Reproducibility of Results Aged
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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...
Female Reproducibility of Results Breast Neoplasms ROC Curve Support Vector Machine Humans Machine Learning Algorithms Models, Biological Datasets as Topic
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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...
Humans Principal Component Analysis Tongue Female ROC Curve Sensitivity and Specificity Image Processing, Computer-Assisted Male Diabetes Mellitus Middle Aged Support Vector Machine
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Neural network prediction of severe lower intestinal bleeding and the need for surgical intervention.

The Journal of surgical research Dec 30, 2016
BACKGROUND: The prognosis for patients with severe acute lower intestinal bleeding (ALIB) may be assessed by complex artificial neural networks (ANNs) or user-friendly regression-based models. Comparisons between these modalities are limited, and pre...
Gastrointestinal Hemorrhage Colonic Diseases Adolescent ROC Curve Rectal Diseases Area Under Curve Decision Support Techniques Adult Prognosis Humans Male Risk Factors Middle Aged Neural Networks, Computer Aged Retrospective Studies Risk Assessment Aged, 80 and over Female Severity of Illness Index Young Adult
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TNF-α increases in the CSF of children with acute lymphoblastic leukemia before CNS relapse.

Blood cells, molecules & diseases Dec 23, 2016
There is scarce information regarding the concentration of cytokines in cerebrospinal fluid (CSF) of children with acute lymphoblastic leukemia (ALL) and their clinical association with CNS status. A prospective analysis of 40 patients <18years with ...
Recurrence Adolescent Central Nervous System Neoplasms Time Factors Child, Preschool Child ROC Curve Predictive Value of Tests Humans Prospective Studies Chemokine CCL2 Tumor Necrosis Factor-alpha Precursor Cell Lymphoblastic Leukemia-Lymphoma Female Cytokines Male Interleukin-6 Infant
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Characterizing Architectural Distortion in Mammograms by Linear Saliency.

Journal of medical systems Dec 22, 2016
Architectural distortion (AD) is a common cause of false-negatives in mammograms. This lesion usually consists of a central retraction of the connective tissue and a spiculated pattern radiating from it. This pattern is difficult to detect due the co...
Sensitivity and Specificity Breast Neoplasms ROC Curve Support Vector Machine Mammography Radiographic Image Interpretation, Computer-Assisted Markov Chains Humans Algorithms
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