AIMC Topic: ROC Curve

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[Analysis of risk factors for prognosis of patients with acute paraquat intoxication].

Zhonghua wei zhong bing ji jiu yi xue Nov 1, 2015
OBJECTIVE: To explore the risk factors influencing the prognosis by analyzing clinical data of patients with acute paraquat intoxication, and to assess the prognostic values of acute physiology and chronic health evaluation II (APACHE II) score, sequ...
Risk Factors Hemoperfusion Humans Area Under Curve Poisoning Prognosis Sensitivity and Specificity Paraquat Retrospective Studies ROC Curve APACHE Acute Kidney Injury Kidney Function Tests Blood Urea Nitrogen
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Using Time Series Analysis to Predict Cardiac Arrest in a PICU.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Nov 1, 2015
OBJECTIVES: To build and test cardiac arrest prediction models in a PICU, using time series analysis as input, and to measure changes in prediction accuracy attributable to different classes of time series data.
Young Adult Infant Adolescent Child, Preschool Child Humans Neural Networks, Computer Retrospective Studies Predictive Value of Tests Area Under Curve Linear Models Multivariate Analysis Heart Arrest Intensive Care Units, Pediatric ROC Curve Support Vector Machine Decision Trees
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An Artificial Immune System-Based Support Vector Machine Approach for Classifying Ultrasound Breast Tumor Images.

Journal of digital imaging Oct 1, 2015
A rapid and highly accurate diagnostic tool for distinguishing benign tumors from malignant ones is required owing to the high incidence of breast cancer. Although various computer-aided diagnosis (CAD) systems have been developed to interpret ultras...
Immune System Breast Neoplasms Middle Aged Adolescent ROC Curve Reproducibility of Results Predictive Value of Tests Humans Support Vector Machine Young Adult Ultrasonography, Mammary Diagnosis, Differential Algorithms Adult Image Interpretation, Computer-Assisted Female Sensitivity and Specificity
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[The value of passive leg raising test in predicting fluid responsiveness in patients with sepsis-induced cardiac dysfunction].

Zhonghua wei zhong bing ji jiu yi xue Sep 1, 2015
OBJECTIVE: To assess the value of passive leg raising (PLR) test in predicting fluid responsiveness in patients with sepsis-induced cardiac dysfunction.
Sepsis Leg Sensitivity and Specificity Humans ROC Curve Area Under Curve Stroke Volume Monitoring, Physiologic Prospective Studies Respiration, Artificial Heart Blood Pressure Intensive Care Units Hemodynamics Cardiac Output Patient Positioning
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Convolutional neural networks for mammography mass lesion classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2015
Feature extraction is a fundamental step when mammography image analysis is addressed using learning based approaches. Traditionally, problem dependent handcrafted features are used to represent the content of images. An alternative approach successf...
ROC Curve Mammography Neural Networks, Computer
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Quantitative analysis of breast echotexture patterns in automated breast ultrasound images.

Medical physics Aug 1, 2015
PURPOSE: Breast tissue composition is considered to be associated with breast cancer risk. This study aimed to develop a computer-aided classification (CAC) system to automatically classify echotexture patterns as heterogeneous or homogeneous using a...
Retrospective Studies Female Aged Young Adult Humans Databases, Factual ROC Curve Support Vector Machine Cluster Analysis Area Under Curve Ultrasonography, Mammary Adult Sensitivity and Specificity Breast Neoplasms Middle Aged Image Interpretation, Computer-Assisted
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A new automated quantification algorithm for the detection and evaluation of focal liver lesions with contrast-enhanced ultrasound.

Medical physics Jul 1, 2015
PURPOSE: Detect and classify focal liver lesions (FLLs) from contrast-enhanced ultrasound (CEUS) imaging by means of an automated quantification algorithm.
Liver Neoplasms Support Vector Machine Contrast Media Liver Image Interpretation, Computer-Assisted Wavelet Analysis Area Under Curve Video Recording Male Middle Aged Ultrasonography ROC Curve Female Aged Young Adult Adult Humans
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Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVM.

Journal of digital imaging Jun 1, 2015
Breast cancer is the second most common type of cancer in the world. Several computer-aided detection and diagnosis systems have been used to assist health experts and to indicate suspect areas that would be difficult to perceive by the human eye; th...
Female Sensitivity and Specificity Breast Neoplasms ROC Curve Cluster Analysis Humans Mammography Algorithms Radiographic Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Support Vector Machine
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Fusion analysis of functional MRI data for classification of individuals based on patterns of activation.

Brain imaging and behavior Jun 1, 2015
Classification of individuals based on patterns of brain activity observed in functional MRI contrasts may be helpful for diagnosis of neurological disorders. Prior work for classification based on these patterns have primarily focused on using a sin...
ROC Curve Support Vector Machine Magnetic Resonance Imaging Brain Mapping Acoustic Stimulation Young Adult Humans Male Area Under Curve Speech Perception Adult Brain Aging Nonlinear Dynamics Female Middle Aged Aged
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Breast tumor classification in ultrasound images using neural networks with improved generalization methods.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Mammography, scintimammography and ultrasound images have been used to increase the specificity of breast cancer image diagnosis. Concerning breast cancer image diagnosis with ultrasound, some results found in the literature show better performance o...
Mammography Area Under Curve Female Humans Breast Neoplasms Neural Networks, Computer Ultrasonography Algorithms ROC Curve Retrospective Studies
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