AIMC Topic: Sensitivity and Specificity

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Feasibility of 30-day hospital readmission prediction modeling based on health information exchange data.

International journal of medical informatics Sep 14, 2015
INTRODUCTION: Unplanned 30-day hospital readmission account for roughly $17 billion in annual Medicare spending. Many factors contribute to unplanned hospital readmissions and multiple models have been developed over the years to predict them. Most r...
Natural Language Processing Feasibility Studies Data Mining Patient Readmission Health Information Exchange Pattern Recognition, Automated Vocabulary, Controlled Reproducibility of Results Sensitivity and Specificity Prevalence Models, Statistical Humans Computer Simulation
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Classifying Regularized Sensor Covariance Matrices: An Alternative to CSP.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 10, 2015
Common spatial patterns (CSP) is a commonly used technique for classifying imagined movement type brain-computer interface (BCI) datasets. It has been very successful with many extensions and improvements on the basic technique. However, a drawback o...
Pattern Recognition, Automated Brain-Computer Interfaces Signal-To-Noise Ratio Reproducibility of Results Sensitivity and Specificity Data Interpretation, Statistical Electroencephalography Machine Learning Algorithms
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Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box.

Medical image analysis Sep 8, 2015
In this paper, we tackle the problem of automatic classification of pulmonary peri-fissural nodules (PFNs). The classification problem is formulated as a machine learning approach, where detected nodule candidates are classified as PFNs or non-PFNs. ...
Humans Neural Networks, Computer Software Imaging, Three-Dimensional Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Algorithms Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Radiographic Image Enhancement Subtraction Technique
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Going beyond a First Reader: A Machine Learning Methodology for Optimizing Cost and Performance in Breast Ultrasound Diagnosis.

Ultrasound in medicine & biology Sep 6, 2015
The goal of this study was to devise a machine learning methodology as a viable low-cost alternative to a second reader to help augment physicians' interpretations of breast ultrasound images in differentiating benign and malignant masses. Two indepe...
Humans Middle Aged Image Processing, Computer-Assisted Area Under Curve Ultrasonography, Mammary Observer Variation Machine Learning Female Sensitivity and Specificity Breast Neoplasms
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Discriminating preictal and interictal brain states in intracranial EEG by sample entropy and extreme learning machine.

Journal of neuroscience methods Aug 31, 2015
BACKGROUND: Epilepsy is one of the most common neurological disorders approximately one in every 100 people worldwide are suffering from it. Uncontrolled epilepsy poses a significant burden to society due to associated healthcare cost to treat and co...
Female Young Adult Adult Sensitivity and Specificity Humans Machine Learning Brain Epilepsy Seizures Signal Processing, Computer-Assisted Electrocorticography Male Middle Aged Adolescent Child
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Unsupervised learning based feature extraction for differential diagnosis of neurodegenerative diseases: A case study on early-stage diagnosis of Parkinson disease.

Journal of neuroscience methods Aug 21, 2015
BACKGROUND: The development of MRI based methods could prove extremely valuable for identification of reliable biomarkers to aid diagnosis of neurodegenerative diseases (NDs). A great deal of current research has been aimed at identification biomarke...
Parkinson Disease Diagnosis, Differential Least-Squares Analysis Image Interpretation, Computer-Assisted Early Diagnosis Middle Aged Disease Progression Support Vector Machine Magnetic Resonance Imaging Databases, Factual Brain Adult Sensitivity and Specificity Humans
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An Automated and Intelligent Medical Decision Support System for Brain MRI Scans Classification.

PloS one Aug 17, 2015
A wide interest has been observed in the medical health care applications that interpret neuroimaging scans by machine learning systems. This research proposes an intelligent, automatic, accurate, and robust classification technique to classify the h...
Expert Systems Sensitivity and Specificity Male Middle Aged Support Vector Machine Magnetic Resonance Imaging Principal Component Analysis Least-Squares Analysis Intelligence Female Aged Aged, 80 and over Adult Humans Software Algorithms Brain
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Benchmarking human epithelial type 2 interphase cells classification methods on a very large dataset.

Artificial intelligence in medicine Aug 13, 2015
OBJECTIVE: This paper presents benchmarking results of human epithelial type 2 (HEp-2) interphase cell image classification methods on a very large dataset. The indirect immunofluorescence method applied on HEp-2 cells has been the gold standard to i...
Algorithms Sensitivity and Specificity Diagnosis, Computer-Assisted Humans Connective Tissue Diseases Fluorescent Antibody Technique, Indirect Interphase Image Processing, Computer-Assisted Support Vector Machine Epithelial Cells Pattern Recognition, Automated
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Measurement of Contact Behavior Including Slippage of Cuff When Using Wearable Physical Assistant Robot.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 11, 2015
Continuous use of wearable robots can cause skin injuries beneath the cuffs of robots. To prevent such injuries, understanding the contact behavior of the cuff is important. Thus far, this contact behavior has not been studied because of the difficul...
Braces Moving and Lifting Patients Skin Physiological Phenomena Exoskeleton Device Man-Machine Systems Friction Reproducibility of Results Young Adult Sensitivity and Specificity Male Monitoring, Ambulatory Stress, Mechanical Equipment Failure Analysis Robotics Equipment Design Humans
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Characterization of unexpected postural changes during robot-assisted gait training in paraplegic patients.

Spinal cord Aug 11, 2015
STUDY DESIGN: This is a retrospective study.
Paraplegia Postural Balance Therapy, Computer-Assisted Exoskeleton Device Gait Disorders, Neurologic Reproducibility of Results Adult Sensitivity and Specificity Male Treatment Outcome Posture Robotics Middle Aged Thoracic Vertebrae Humans Female
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