AIMC Topic: Sensitivity and Specificity

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Implementing Machine Learning in Radiology Practice and Research.

AJR. American journal of roentgenology Jan 26, 2017
OBJECTIVE: The purposes of this article are to describe concepts that radiologists should understand to evaluate machine learning projects, including common algorithms, supervised as opposed to unsupervised techniques, statistical pitfalls, and data ...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Practice Patterns, Physicians' Image Enhancement Humans Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Biomedical Research United States Radiology
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Exploring temporal information in neonatal seizures using a dynamic time warping based SVM kernel.

Computers in biology and medicine Jan 26, 2017
Seizure events in newborns change in frequency, morphology, and propagation. This contextual information is explored at the classifier level in the proposed patient-independent neonatal seizure detection system. The system is based on the combination...
Spatio-Temporal Analysis Diagnosis, Computer-Assisted Electrocardiography Support Vector Machine Infant, Newborn Models, Statistical Reproducibility of Results Humans Pattern Recognition, Automated Sensitivity and Specificity Algorithms Epilepsy, Benign Neonatal Male Computer Simulation Female
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EXiO-A Brain-Controlled Lower Limb Exoskeleton for Rhesus Macaques.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 26, 2017
Recent advances in the field of brain-machine interfaces (BMIs) have demonstrated enormous potential to shape the future of rehabilitation and prosthetic devices. Here, a lower-limb exoskeleton controlled by the intracortical activity of an awake beh...
Female Reproducibility of Results Sensitivity and Specificity Animals Robotics Equipment Design Gait Exoskeleton Device Artificial Limbs Macaca mulatta Brain-Computer Interfaces Task Performance and Analysis Equipment Failure Analysis
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Automated seizure detection using limited-channel EEG and non-linear dimension reduction.

Computers in biology and medicine Jan 25, 2017
Electroencephalography (EEG) is an essential component in evaluation of epilepsy. However, full-channel EEG signals recorded from 18 to 23 electrodes on the scalp is neither wearable nor computationally effective. This paper presents advantages of bo...
Pattern Recognition, Automated Data Interpretation, Statistical Electroencephalography Seizures Humans Reproducibility of Results Nonlinear Dynamics Machine Learning Sensitivity and Specificity Diagnosis, Computer-Assisted Algorithms Sample Size
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Deep ensemble learning of sparse regression models for brain disease diagnosis.

Medical image analysis Jan 24, 2017
Recent studies on brain imaging analysis witnessed the core roles of machine learning techniques in computer-assisted intervention for brain disease diagnosis. Of various machine-learning techniques, sparse regression models have proved their effecti...
Machine Learning Alzheimer Disease Female Humans Male Brain Reproducibility of Results Cognitive Dysfunction Prognosis Aged Magnetic Resonance Imaging Clinical Decision-Making Sensitivity and Specificity Regression Analysis
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Gap-free segmentation of vascular networks with automatic image processing pipeline.

Computers in biology and medicine Jan 21, 2017
Current image processing techniques capture large vessels reliably but often fail to preserve connectivity in bifurcations and small vessels. Imaging artifacts and noise can create gaps and discontinuity of intensity that hinders segmentation of vasc...
Algorithms Reproducibility of Results Sensitivity and Specificity Image Interpretation, Computer-Assisted Humans Pattern Recognition, Automated Cerebral Arteries Machine Learning Cerebral Angiography
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Disease-free survival assessment by artificial neural networks for hepatocellular carcinoma patients after radiofrequency ablation.

Journal of the Formosan Medical Association = Taiwan yi zhi Jan 20, 2017
BACKGROUND/PURPOSE: Radiofrequency ablation (RFA) provides an effective treatment for patients who exhibit early hepatocellular carcinoma (HCC) stages or are waiting for liver transplantation. It is important to assess patients after RFA. The goal of...
Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Liver Neoplasms Carcinoma, Hepatocellular Treatment Outcome Taiwan Female Aged Sensitivity and Specificity Male Disease-Free Survival Catheter Ablation
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Design and Characterization of an Exoskeleton for Perturbing the Knee During Gait.

IEEE transactions on bio-medical engineering Jan 20, 2017
OBJECTIVE: An improved understanding of mechanical impedance modulation in human joints would provide insights about the neuromechanics underlying functional movements. Experimental estimation of impedance requires specialized tools with highly repro...
Humans Reproducibility of Results Sensitivity and Specificity Treatment Outcome Range of Motion, Articular Robotics Exoskeleton Device Equipment Failure Analysis Equipment Design Gait Disorders, Neurologic Knee Joint Neurological Rehabilitation Gait
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Control and Evaluation of a Powered Transfemoral Prosthesis for Stair Ascent.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 20, 2017
This paper assesses the metabolic effort exerted by three transfemoral amputees, when using a powered knee and ankle prosthesis for stair ascent, relative to ascending stairs with passive knee and ankle prostheses. The paper describes a controller th...
Equipment Failure Analysis Leg Exoskeleton Device Electric Power Supplies Middle Aged Pilot Projects Reproducibility of Results Oxygen Consumption Humans Treatment Outcome Sensitivity and Specificity Equipment Design Female Robotics Feedback Gait Male Artificial Limbs
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Automatic detection and measurement of nuchal translucency.

Computers in biology and medicine Jan 20, 2017
In this paper we propose a new methodology to support the physician both to identify automatically the nuchal region and to obtain a correct thickness measurement of the nuchal translucency. The thickness of the nuchal translucency is one of the main...
Pattern Recognition, Automated Down Syndrome Wavelet Analysis Nuchal Translucency Measurement Algorithms Reproducibility of Results Sensitivity and Specificity Humans Image Interpretation, Computer-Assisted Machine Learning
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