AIMC Topic: Sensitivity and Specificity

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Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 18, 2016
Electroencephalography (EEG) headsets are the most commonly used sensing devices for brain-computer interface. In real-world applications, there are advantages to extrapolating data from one user session to another. However, these advantages are limi...
Humans Machine Learning Algorithms Electrodes Reproducibility of Results Pattern Recognition, Automated Sensitivity and Specificity Brain-Computer Interfaces Electroencephalography Equipment Failure Analysis Equipment Design Online Systems
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Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization.

Medical image analysis Mar 17, 2016
In this paper, we propose a supervised domain adaptation (DA) framework for adapting decision forests in the presence of distribution shift between training (source) and testing (target) domains, given few labeled examples. We introduce a novel metho...
Humans Reproducibility of Results Supervised Machine Learning Coronary Circulation Sensitivity and Specificity Ultrasonography Image Processing, Computer-Assisted Heart
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Adaptable texture-based segmentation by variance and intensity for automatic detection of semitranslucent and pink blush areas in basal cell carcinoma.

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 16, 2016
BACKGROUND: Pink blush is a common feature in basal cell carcinoma (BCC). A related feature, semitranslucency, appears as smooth pink or orange regions resembling skin color. We introduce an automatic method for detection of these features based on s...
Colorimetry Color Image Interpretation, Computer-Assisted Pattern Recognition, Automated Sensitivity and Specificity Feedback Male Middle Aged Humans Machine Learning Algorithms Female Skin Neoplasms Carcinoma, Basal Cell Dermoscopy Reproducibility of Results Aged
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High-Performance Personalized Heartbeat Classification Model for Long-Term ECG Signal.

IEEE transactions on bio-medical engineering Mar 8, 2016
Long-term electrocardiogram (ECG) has become one of the important diagnostic assist methods in clinical cardiovascular domain. Long-term ECG is primarily used for the detection of various cardiovascular diseases that are caused by various cardiac arr...
Heart Rate Pattern Recognition, Automated Heart Rate Determination Diagnosis, Computer-Assisted Longitudinal Studies Patient-Centered Care Electrocardiography, Ambulatory Humans Neural Networks, Computer Algorithms Female Reproducibility of Results Sensitivity and Specificity Male
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Automatically quantifying the scientific quality and sensationalism of news records mentioning pandemics: validating a maximum entropy machine-learning model.

Journal of clinical epidemiology Mar 7, 2016
OBJECTIVE: To develop and validate a method for automatically quantifying the scientific quality and sensationalism of individual news records.
Humans Influenza, Human Information Dissemination Influenza A Virus, H1N1 Subtype Mass Media Severe Acute Respiratory Syndrome Machine Learning Pandemics Databases, Factual Reproducibility of Results Sensitivity and Specificity
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A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images.

IEEE transactions on bio-medical engineering Feb 26, 2016
GOAL: In this work, we present an extensive description and evaluation of our method for blood vessel segmentation in fundus images based on a discriminatively trained fully connected conditional random field model.
Computer Simulation Reproducibility of Results Sensitivity and Specificity Models, Statistical Image Interpretation, Computer-Assisted Photography Humans Pattern Recognition, Automated Models, Cardiovascular Machine Learning Retinal Diseases Retinal Artery Fluorescein Angiography Ophthalmoscopy
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Symmetry Analysis of Gait between Left and Right Limb Using Cross-Fuzzy Entropy.

Computational and mathematical methods in medicine Feb 24, 2016
The purpose of this paper is the investigation of gait symmetry problem by using cross-fuzzy entropy (C-FuzzyEn), which is a recently proposed cross entropy that has many merits as compared to the frequently used cross sample entropy (C-SampleEn). Fi...
Gait Extremities Humans ROC Curve Female Software Sensitivity and Specificity Support Vector Machine Algorithms Male Fuzzy Logic Reproducibility of Results Computer Simulation Middle Aged Aged Parkinson Disease Case-Control Studies Young Adult Models, Statistical Adult
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Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine.

NeuroImage Feb 23, 2016
Normalization of feature vector values is a common practice in machine learning. Generally, each feature value is standardized to the unit hypercube or by normalizing to zero mean and unit variance. Classification decisions based on support vector ma...
Signal Processing, Computer-Assisted Alzheimer Disease Pattern Recognition, Automated Multivariate Analysis Sensitivity and Specificity Male Support Vector Machine Magnetic Resonance Imaging Brain Mapping Computer Simulation Female Humans Reproducibility of Results Brain Aged
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Automated identification and predictive tools to help identify high-risk heart failure patients: pilot evaluation.

Journal of the American Medical Informatics Association : JAMIA Feb 17, 2016
OBJECTIVE: Develop and evaluate an automated identification and predictive risk report for hospitalized heart failure (HF) patients.
Humans Electronic Health Records Female Hospitalization Sensitivity and Specificity Decision Making, Computer-Assisted Male Risk Assessment Natural Language Processing Severity of Illness Index Heart Failure Pilot Projects Patient Readmission Analysis of Variance Hospital Information Systems
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Evaluation of Underlying Lymphocytic Thyroiditis With Histogram Analysis Using Grayscale Ultrasound Images.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Feb 17, 2016
OBJECTIVES: The purpose of this study was to evaluate diagnostic performance of histogram analysis using grayscale ultrasound (US) images in the diagnosis of lymphocytic thyroiditis.
Image Enhancement Thyroiditis, Autoimmune Adolescent Ultrasonography Data Interpretation, Statistical Image Interpretation, Computer-Assisted Observer Variation Adult Sensitivity and Specificity Male Humans Middle Aged Machine Learning Algorithms Female Reproducibility of Results Aged Aged, 80 and over Young Adult
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