AIMC Topic: Sensitivity and Specificity

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Reduction of Assessment Time for Stroke-Related Impairments Using Robotic Evaluation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 16, 2017
Robotic technologies can provide objective, reliable tools for assessing a broad range of sensory, motor and cognitive functions. However, as additional tasks are developed on these platforms, the time necessary to assess a patient increases. In this...
Physical Examination Movement Disorders Diagnostic Techniques, Neurological Robotics Workload Stroke Task Performance and Analysis Man-Machine Systems Humans Female Reproducibility of Results Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted
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Noise-robust unsupervised spike sorting based on discriminative subspace learning with outlier handling.

Journal of neural engineering Feb 15, 2017
OBJECTIVE: Spike sorting is a fundamental preprocessing step for many neuroscience studies which rely on the analysis of spike trains. Most of the feature extraction and dimensionality reduction techniques that have been used for spike sorting give a...
Humans Machine Learning Signal-To-Noise Ratio Action Potentials Algorithms Models, Statistical Computer Simulation Discriminant Analysis Reproducibility of Results Artifacts Sensitivity and Specificity Pattern Recognition, Automated Models, Neurological
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An interactive medical image segmentation framework using iterative refinement.

Computers in biology and medicine Feb 13, 2017
Segmentation is often performed on medical images for identifying diseases in clinical evaluation. Hence it has become one of the major research areas. Conventional image segmentation techniques are unable to provide satisfactory segmentation results...
Humans Machine Learning Image Interpretation, Computer-Assisted Pattern Recognition, Automated Systems Integration Algorithms Reproducibility of Results Sensitivity and Specificity User-Computer Interface Magnetic Resonance Imaging
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Classifier transfer with data selection strategies for online support vector machine classification with class imbalance.

Journal of neural engineering Feb 13, 2017
OBJECTIVE: Classifier transfers usually come with dataset shifts. To overcome dataset shifts in practical applications, we consider the limitations in computational resources in this paper for the adaptation of batch learning algorithms, like the sup...
Humans Algorithms Brain Computer Simulation Reproducibility of Results Data Mining Sensitivity and Specificity Support Vector Machine Models, Neurological Pattern Recognition, Automated Electroencephalography Brain-Computer Interfaces Online Systems
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Controlling testing volume for respiratory viruses using machine learning and text mining.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Viral testing for pediatric inpatients with respiratory symptoms is common, with considerable associated charges. In an attempt to reduce testing volumes, we studied whether data available at the time of admission could aid in identifying children wi...
Child, Preschool Humans Hospitalization Machine Learning Child Sensitivity and Specificity ROC Curve Retrospective Studies Male Data Mining Models, Theoretical Electronic Health Records Infant Decision Trees Female Respiratory Tract Infections Adolescent Virus Diseases Viruses
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Classification of nervous system withdrawn and approved drugs with ToxPrint features via machine learning strategies.

Computer methods and programs in biomedicine Feb 9, 2017
BACKGROUND AND OBJECTIVES: Early-phase virtual screening of candidate drug molecules plays a key role in pharmaceutical industry from data mining and machine learning to prevent adverse effects of the drugs. Computational classification methods can d...
Patient Safety Computer Simulation Sensitivity and Specificity Benzene Support Vector Machine Carbon Area Under Curve Drug Monitoring Pharmaceutical Preparations Data Mining Humans Algorithms Toluene Linear Models Risk Pattern Recognition, Automated Product Surveillance, Postmarketing False Positive Reactions Nervous System Drug Approval Ethylamines Safety-Based Drug Withdrawals
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Automated diagnosis of congestive heart failure using dual tree complex wavelet transform and statistical features extracted from 2s of ECG signals.

Computers in biology and medicine Feb 7, 2017
Identification of alarming features in the electrocardiogram (ECG) signal is extremely significant for the prediction of congestive heart failure (CHF). ECG signal analysis carried out using computer-aided techniques can speed up the diagnosis proces...
Models, Statistical Data Interpretation, Statistical Heart Failure Pattern Recognition, Automated Wavelet Analysis Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Electrocardiography Humans Machine Learning Algorithms Computer Simulation Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult
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A Wearable Hip Assist Robot Can Improve Gait Function and Cardiopulmonary Metabolic Efficiency in Elderly Adults.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 6, 2017
The aims of this paper were to investigate the effectiveness of a newly developed wearable hip assist robot, that uses an active assist algorithm to improve gait function, muscle effort, and cardiopulmonary metabolic efficiency in elderly adults. Thi...
Female Reproducibility of Results Aged Aged, 80 and over Sensitivity and Specificity Humans Male Equipment Failure Analysis Treatment Outcome Exoskeleton Device Robotics Gait Disorders, Neurologic Oxygen Consumption Neurological Rehabilitation Equipment Design Joint Prosthesis
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Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield.

AJR. American journal of roentgenology Jan 31, 2017
OBJECTIVE: The purpose of this study is to evaluate the performance of a natural language processing (NLP) system in classifying a database of free-text knee MRI reports at two separate academic radiology practices.
Support Vector Machine North Carolina Magnetic Resonance Imaging Academic Medical Centers Natural Language Processing Radiology Department, Hospital Humans Pattern Recognition, Automated Workload Knee Machine Learning Image Enhancement Data Mining Reproducibility of Results California Sensitivity and Specificity Radiology Information Systems
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Comprehensible knowledge model creation for cancer treatment decision making.

Computers in biology and medicine Jan 29, 2017
BACKGROUND: A wealth of clinical data exists in clinical documents in the form of electronic health records (EHRs). This data can be used for developing knowledge-based recommendation systems that can assist clinicians in clinical decision making and...
Sensitivity and Specificity Neoplasms Decision Support Systems, Clinical Knowledge Bases Data Mining Algorithms Decision Support Techniques Electronic Health Records Clinical Decision-Making Reproducibility of Results Data Accuracy Humans
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