AIMC Topic: Sensitivity and Specificity

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Locality-constrained Subcluster Representation Ensemble for lung image classification.

Medical image analysis Mar 24, 2015
In this paper, we propose a new Locality-constrained Subcluster Representation Ensemble (LSRE) model, to classify high-resolution computed tomography (HRCT) images of interstitial lung diseases (ILDs). Medical images normally exhibit large intra-clas...
Radiographic Image Interpretation, Computer-Assisted Humans Lung Diseases, Interstitial Radiographic Image Enhancement Pattern Recognition, Automated Machine Learning Radiography, Thoracic Algorithms Tomography, X-Ray Computed Sensitivity and Specificity Lung
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Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) Mar 22, 2015
BACKGROUND/PURPOSE: Early detection of malignant melanoma is an important public health challenge. In the USA, dermatologists are seeing more melanomas at an early stage, before classic melanoma features have become apparent. Pink color is a feature ...
Humans Color Reproducibility of Results Sensitivity and Specificity Skin Pigmentation Supervised Machine Learning Computer Systems Algorithms Image Interpretation, Computer-Assisted Colorimetry Melanoma Pattern Recognition, Automated Skin Neoplasms Dermoscopy
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An automated high-throughput SPE micro-elution method for perfluoroalkyl substances in human serum.

Analytical and bioanalytical chemistry Mar 21, 2015
An automated high-throughput solid phase extraction (SPE) micro-elution method for 8 perfluorosulfonic acids, 11 perfluorocarboxylic acids and fluorooctane sulfonamide in human serum was developed. Importance was attached to the application of small ...
Fluorocarbons Blood Chemical Analysis Endocrine Disruptors Alkanes Automation, Laboratory Reproducibility of Results Sensitivity and Specificity Mass Spectrometry Robotics Liquid Phase Microextraction Environmental Pollutants Chromatography, High Pressure Liquid Humans
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miRBoost: boosting support vector machines for microRNA precursor classification.

RNA (New York, N.Y.) Mar 20, 2015
Identification of microRNAs (miRNAs) is an important step toward understanding post-transcriptional gene regulation and miRNA-related pathology. Difficulties in identifying miRNAs through experimental techniques combined with the huge amount of data ...
Information Storage and Retrieval RNA Precursors Software Humans Sequence Alignment Sensitivity and Specificity Animals Computational Biology Support Vector Machine Databases, Genetic MicroRNAs
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n-Order and maximum fuzzy similarity entropy for discrimination of signals of different complexity: Application to fetal heart rate signals.

Computers in biology and medicine Mar 17, 2015
This paper presents two new concepts for discrimination of signals of different complexity. The first focused initially on solving the problem of setting entropy descriptors by varying the pattern size instead of the tolerance. This led to the search...
Fetal Monitoring Entropy Sensitivity and Specificity Computational Biology Fuzzy Logic Humans Pregnancy Signal Processing, Computer-Assisted Female Heart Rate, Fetal
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Automatic detection of atrial fibrillation using stationary wavelet transform and support vector machine.

Computers in biology and medicine Mar 14, 2015
BACKGROUND: Atrial fibrillation (AF) is the most common cardiac arrhythmia, and a major public health burden associated with significant morbidity and mortality. Automatic detection of AF could substantially help in early diagnosis, management and co...
Electrocardiography Support Vector Machine Signal Processing, Computer-Assisted Arrhythmias, Cardiac Atrial Fibrillation Wavelet Analysis Fourier Analysis Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted ROC Curve Humans Algorithms
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Language-Model Assisted Brain Computer Interface for Typing: A Comparison of Matrix and Rapid Serial Visual Presentation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 11, 2015
Noninvasive electroencephalography (EEG)-based brain-computer interfaces (BCIs) popularly utilize event-related potential (ERP) for intent detection. Specifically, for EEG-based BCI typing systems, different symbol presentation paradigms have been ut...
Humans Machine Learning Algorithms Language Male Models, Neurological Natural Language Processing Electroencephalography Pattern Recognition, Automated Female Reproducibility of Results Adult Sensitivity and Specificity Communication Devices for People with Disabilities Word Processing Brain-Computer Interfaces Evoked Potentials, Visual Task Performance and Analysis Photic Stimulation
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A Mobile Health Application to Predict Postpartum Depression Based on Machine Learning.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Mar 3, 2015
BACKGROUND: Postpartum depression (PPD) is a disorder that often goes undiagnosed. The development of a screening program requires considerable and careful effort, where evidence-based decisions have to be taken in order to obtain an effective test w...
Depression, Postpartum Forecasting Prospective Studies Female Humans Adult Risk Factors Machine Learning Sensitivity and Specificity Surveys and Questionnaires Telemedicine
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Efficient method for analyzing MR real-time cines: Toward accurate quantification of left ventricular function.

Journal of magnetic resonance imaging : JMRI Mar 2, 2015
BACKGROUND: To develop and assess an efficient method to identify end-expiratory end-diastolic (ED) and end-systolic (ES) images for accurate quantification of left ventricular (LV) function in real-time cine imaging.
Reproducibility of Results Young Adult Adult Sensitivity and Specificity Humans Machine Learning Algorithms Observer Variation Pattern Recognition, Automated Image Enhancement History, Ancient Magnetic Resonance Imaging, Cine Male Ventricular Function, Left Computer Systems Image Interpretation, Computer-Assisted
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Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 24, 2015
The high number of false positives and the resulting number of avoidable breast biopsies are the major problems faced by current mammography Computer Aided Detection (CAD) systems. False positive reduction is not only a requirement for mass but also ...
Models, Statistical Mammography Reproducibility of Results False Positive Reactions Radiographic Image Interpretation, Computer-Assisted Humans Sensitivity and Specificity Pattern Recognition, Automated Radiographic Image Enhancement Algorithms Breast Neoplasms Computer Simulation Support Vector Machine Female
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