AIMC Topic: Sensitivity and Specificity

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A Novel Tool for Evaluation of Mild Traumatic Brain Injury Patients in the Emergency Department: Does Robotic Assessment of Neuromotor Performance Following Injury Predict the Presence of Postconcussion Symptoms at Follow-up?

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Mar 21, 2016
OBJECTIVES: Postconcussion symptoms (PCS) are a common complication of mild traumatic brain injury (TBI). Currently, there is no validated clinically available method to reliably predict at the time of injury who will subsequently develop PCS. The pu...
Young Adult Adult Sensitivity and Specificity Male Middle Aged Humans Female Emergency Service, Hospital Observer Variation Diagnostic Techniques, Neurological Head Injuries, Closed Post-Concussion Syndrome Urban Population Follow-Up Studies Brain Injuries Robotics
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Rehabilitative Soft Exoskeleton for Rodents.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 18, 2016
Robotic exoskeletons provide programmable, consistent and controllable active therapeutic assistance to patients with neurological disorders. Here we introduce a prototype and preliminary experimental evaluation of a rehabilitative gait exoskeleton t...
Female Reproducibility of Results Sensitivity and Specificity Animals Pilot Projects Gait Disorders, Neurologic Artificial Limbs Rats Neurological Rehabilitation Elastic Modulus Treatment Outcome Feasibility Studies Robotics Equipment Design Rats, Inbred Lew Equipment Failure Analysis Exoskeleton Device
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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...
Equipment Design Electrodes Pattern Recognition, Automated Brain-Computer Interfaces Equipment Failure Analysis Algorithms Reproducibility of Results Sensitivity and Specificity Electroencephalography Online Systems Humans Machine Learning
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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...
Reproducibility of Results Sensitivity and Specificity Ultrasonography Image Processing, Computer-Assisted Heart Supervised Machine Learning Coronary Circulation Humans
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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...
Female Skin Neoplasms Carcinoma, Basal Cell Dermoscopy Reproducibility of Results Humans Machine Learning Algorithms Middle Aged Colorimetry Aged Color Sensitivity and Specificity Image Interpretation, Computer-Assisted Feedback Pattern Recognition, Automated Male
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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...
Electrocardiography, Ambulatory Heart Rate Male Humans Pattern Recognition, Automated Diagnosis, Computer-Assisted Neural Networks, Computer Heart Rate Determination Longitudinal Studies Algorithms Patient-Centered Care Female Reproducibility of Results Sensitivity and Specificity
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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.
Mass Media Humans Severe Acute Respiratory Syndrome Machine Learning Pandemics Databases, Factual Reproducibility of Results Sensitivity and Specificity Influenza, Human Information Dissemination Influenza A Virus, H1N1 Subtype
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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.
Photography Computer Simulation Humans Models, Cardiovascular Pattern Recognition, Automated Reproducibility of Results Machine Learning Retinal Artery Retinal Diseases Sensitivity and Specificity Models, Statistical Fluorescein Angiography Image Interpretation, Computer-Assisted 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...
Sensitivity and Specificity Gait Female Humans ROC Curve Reproducibility of Results Male Extremities Software Aged Middle Aged Support Vector Machine Algorithms Young Adult Case-Control Studies Fuzzy Logic Computer Simulation Adult Parkinson Disease Models, Statistical
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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 Humans Female Brain Reproducibility of Results Aged
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