AIMC Topic: Sensitivity and Specificity

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An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images.

Scientific reports Oct 9, 2015
This research proposes an intelligent decision support system for acute lymphoblastic leukaemia diagnosis from microscopic blood images. A novel clustering algorithm with stimulating discriminant measures (SDM) of both within- and between-cluster sca...
Databases, Factual Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Humans Algorithms Leukocytes Microscopy Cell Nucleus Cytoplasm Leukemia Staining and Labeling Support Vector Machine Cluster Analysis Discriminant Analysis
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Robustness and Reliability of Synergy-Based Myocontrol of a Multiple Degree of Freedom Robotic Arm.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 30, 2015
In this study, we test the feasibility of the synergy- based approach for application in the realistic and clinically oriented framework of multi-degree of freedom (DOF) robotic control. We developed and tested online ten able-bodied subjects in a se...
Adult Sensitivity and Specificity Male Muscle, Skeletal Robotics Equipment Design Electromyography Feasibility Studies Humans Female Reproducibility of Results Young Adult Exoskeleton Device Man-Machine Systems Arm Task Performance and Analysis Isometric Contraction Equipment Failure Analysis
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Predictive Value of Neutrophil Gelatinase-Associated Lipocalin for Contrast-Induced Acute Kidney Injury After Cardiac Catheterization: A Meta-analysis.

The Canadian journal of cardiology Sep 30, 2015
BACKGROUND: Neutrophil gelatinase-associated lipocalin (NGAL) accumulates in cortical tubules in acute kidney injury (AKI) patients, with its levels associated with serum creatinine. However, the predictive value of NGAL level for contrast-induced ac...
Cardiac Catheterization Time Factors Contrast Media Predictive Value of Tests Lipocalin-2 Humans Biomarkers Acute Kidney Injury Sensitivity and Specificity
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Myocardial Fractional Flow Reserve Measurement Using Contrast Media as a First-Line Assessment of Coronary Lesions in Current Practice.

The Canadian journal of cardiology Sep 25, 2015
BACKGROUND: Fractional flow reserve (FFR) measurement requires adenosine injection. However, adenosine can induce conductive and rhythmic complications, or be contraindicated in some patients. Contrast-induced hyperemia could provide a simple first-l...
Contrast Media Predictive Value of Tests Coronary Angiography Patient Selection Male Middle Aged Risk Assessment Body Mass Index Adenosine France Triiodobenzoic Acids Coronary Stenosis Fractional Flow Reserve, Myocardial Humans Prospective Studies Female Reproducibility of Results Risk Factors Aged Sensitivity and Specificity
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Cytotoxicity of chitosan/streptokinase nanoparticles as a function of size: An artificial neural networks study.

Nanomedicine : nanotechnology, biology, and medicine Sep 25, 2015
Predicting the size and toxicity of chitosan/streptokinase nanoparticles at various values of processing parameters was the aim of this study. For the first time, a comprehensive model could be developed to determine the cytotoxicity of the nanoparti...
Streptokinase Chitosan Particle Size Structure-Activity Relationship Hydrogen-Ion Concentration Drug Evaluation, Preclinical Nanocomposites Pattern Recognition, Automated Toxicity Tests Reproducibility of Results Sensitivity and Specificity Dose-Response Relationship, Drug Cell Survival Neural Networks, Computer Algorithms
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Harnessing Computational Biology for Exact Linear B-Cell Epitope Prediction: A Novel Amino Acid Composition-Based Feature Descriptor.

Omics : a journal of integrative biology Sep 25, 2015
Proteins embody epitopes that serve as their antigenic determinants. Epitopes occupy a central place in integrative biology, not to mention as targets for novel vaccine, pharmaceutical, and systems diagnostics development. The presence of T-cell and ...
Computational Biology Support Vector Machine Models, Statistical Amino Acid Sequence Humans Software Sensitivity and Specificity Datasets as Topic Molecular Sequence Data Epitopes, B-Lymphocyte
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A bifurcation identifier for IV-OCT using orthogonal least squares and supervised machine learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 21, 2015
Intravascular optical coherence tomography (IV-OCT) is an in-vivo imaging modality based on the intravascular introduction of a catheter which provides a view of the inner wall of blood vessels with a spatial resolution of 10-20 μm. Recent studies in...
Pattern Recognition, Automated Image Enhancement Sensitivity and Specificity Data Interpretation, Statistical Radiography Tomography, Optical Coherence Least-Squares Analysis Coronary Artery Disease Supervised Machine Learning Image Interpretation, Computer-Assisted Humans Reproducibility of Results
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Foot-controlled robotic-enabled endoscope holder for endoscopic sinus surgery: A cadaveric feasibility study.

The Laryngoscope Sep 15, 2015
OBJECTIVES/HYPOTHESIS: To evaluate the feasibility of a unique prototype foot-controlled robotic-enabled endoscope holder (FREE) in functional endoscopic sinus surgery.
Endoscopes Nasal Cavity Humans Endoscopy Sensitivity and Specificity Robotics Robotic Surgical Procedures Feasibility Studies Cadaver Foot
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An Improved Sparse Representation over Learned Dictionary Method for Seizure Detection.

International journal of neural systems Sep 14, 2015
Automatic seizure detection has played an important role in the monitoring, diagnosis and treatment of epilepsy. In this paper, a patient specific method is proposed for seizure detection in the long-term intracranial electroencephalogram (EEG) recor...
Sensitivity and Specificity Predictive Value of Tests Electroencephalography Seizures Humans Neural Networks, Computer Algorithms
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Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection.

IEEE/ACM transactions on computational biology and bioinformatics Sep 14, 2015
Recently, feature selection and dimensionality reduction have become fundamental tools for many data mining tasks, especially for processing high-dimensional data such as gene expression microarray data. Gene expression microarray data comprises up t...
Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Humans Genetic Markers Data Mining Pattern Recognition, Automated Genes, Neoplasm Neoplasms Genetic Predisposition to Disease Databases, Genetic Neoplasm Proteins
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