AIMC Topic: Sensitivity and Specificity

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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 User-Computer Interface Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Pattern Recognition, Automated Systems Integration Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity
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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...
Pattern Recognition, Automated Brain-Computer Interfaces Online Systems Humans Algorithms Brain Computer Simulation Reproducibility of Results Sensitivity and Specificity Support Vector Machine Models, Neurological Electroencephalography Data Mining
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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...
Viruses Adolescent Humans Child, Preschool Models, Theoretical Female Child Decision Trees Hospitalization Machine Learning ROC Curve Data Mining Sensitivity and Specificity Retrospective Studies Male Respiratory Tract Infections Electronic Health Records Infant Virus Diseases
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Classification of nervous system withdrawn and approved drugs with ToxPrint features via machine learning strategies.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...
False Positive Reactions Drug Approval Risk Product Surveillance, Postmarketing Nervous System Ethylamines Safety-Based Drug Withdrawals Pharmaceutical Preparations Data Mining Toluene Linear Models Pattern Recognition, Automated Support Vector Machine Carbon Area Under Curve Humans Drug Monitoring Algorithms Patient Safety Computer Simulation Sensitivity and Specificity Benzene
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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...
Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Algorithms Computer Simulation Female Reproducibility of Results Data Interpretation, Statistical Heart Failure Pattern Recognition, Automated Wavelet Analysis Male Middle Aged Diagnosis, Computer-Assisted Electrocardiography Models, Statistical Humans Machine Learning
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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 Equipment Failure Analysis Aged Exoskeleton Device Aged, 80 and over Gait Disorders, Neurologic Sensitivity and Specificity Neurological Rehabilitation Humans Male Joint Prosthesis Treatment Outcome Robotics Oxygen Consumption Equipment Design
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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.
Humans Machine Learning Reproducibility of Results Sensitivity and Specificity Radiology Information Systems North Carolina Radiology Department, Hospital Knee Data Mining Support Vector Machine Academic Medical Centers Pattern Recognition, Automated Magnetic Resonance Imaging Image Enhancement Natural Language Processing California Workload
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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...
Electronic Health Records Clinical Decision-Making Decision Support Systems, Clinical Humans Reproducibility of Results Knowledge Bases Algorithms Sensitivity and Specificity Decision Support Techniques Data Mining Neoplasms Data Accuracy
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A deep learning approach for the analysis of masses in mammograms with minimal user intervention.

Medical image analysis Jan 28, 2017
We present an integrated methodology for detecting, segmenting and classifying breast masses from mammograms with minimal user intervention. This is a long standing problem due to low signal-to-noise ratio in the visualisation of breast masses, combi...
Machine Learning Female Sensitivity and Specificity Breast Neoplasms Bayes Theorem Humans Mammography Radiographic Image Interpretation, Computer-Assisted Breast
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Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis.

Computers in biology and medicine Jan 27, 2017
BACKGROUND: When left untreated, age-related macular degeneration (AMD) is the leading cause of vision loss in people over fifty in the US. Currently it is estimated that about eight million US individuals have the intermediate stage of AMD that is o...
Macular Degeneration Image Interpretation, Computer-Assisted Observer Variation Early Diagnosis Pattern Recognition, Automated Fluorescein Angiography Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Severity of Illness Index Humans
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