AIMC Topic: Sensitivity and Specificity

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A novel method of diagnosing premature ventricular contraction based on sparse auto-encoder and softmax regression.

Bio-medical materials and engineering Jan 1, 2015
Premature ventricular contraction (PVC) is one of the most serious arrhythmias. Without early diagnosis and proper treatment, PVC can result in significant complications. In this paper, a novel feature extraction method based on a sparse auto-encoder...
Sensitivity and Specificity Atrial Premature Complexes Diagnosis, Computer-Assisted Bundle-Branch Block Diagnosis, Differential Electrocardiography Humans Regression Analysis Data Interpretation, Statistical Neural Networks, Computer Pattern Recognition, Automated Algorithms Ventricular Premature Complexes Reproducibility of Results
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Restricted Boltzmann machines based oversampling and semi-supervised learning for false positive reduction in breast CAD.

Bio-medical materials and engineering Jan 1, 2015
The false-positive reduction (FPR) is a crucial step in the computer aided detection system for the breast. The issues of imbalanced data distribution and the limitation of labeled samples complicate the classification procedure. To overcome these ch...
Sensitivity and Specificity Breast Neoplasms Humans Models, Statistical Neural Networks, Computer Sample Size False Positive Reactions Algorithms Stochastic Processes Computer Simulation Data Interpretation, Statistical Radiographic Image Enhancement Female Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Supervised Machine Learning Pattern Recognition, Automated
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Automatic segmentation in image stacks based on multi-constraint level-set evolution.

Bio-medical materials and engineering Jan 1, 2015
Contour extraction of image stacks is a basic task in medical modeling. The existing level-set methods usually suffer from some problems (e.g. serious errors around sharp features, incorrect split of topology and contour occlusions). This paper propo...
Image Enhancement Subtraction Technique Reproducibility of Results Sensitivity and Specificity Image Interpretation, Computer-Assisted Pattern Recognition, Automated Machine Learning Algorithms
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Image manifold revealing for breast lesion segmentation in DCE-MRI.

Bio-medical materials and engineering Jan 1, 2015
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is widely used for breast lesion differentiation. Manual segmentation in DCE-MRI is difficult and open to viewer interpretation. In this paper, an automatic segmentation method based on i...
Algorithms Female Reproducibility of Results Sensitivity and Specificity Breast Neoplasms Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Pattern Recognition, Automated Humans Machine Learning Image Enhancement
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Automatic brain MR image denoising based on texture feature-based artificial neural networks.

Bio-medical materials and engineering Jan 1, 2015
Noise is one of the main sources of quality deterioration not only for visual inspection but also in computerized processing in brain magnetic resonance (MR) image analysis such as tissue classification, segmentation and registration. Accordingly, no...
Artifacts Pattern Recognition, Automated Image Enhancement Signal-To-Noise Ratio Reproducibility of Results Sensitivity and Specificity Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Brain
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Identification of Conversion from Normal Elderly Cognition to Alzheimer's Disease using Multimodal Support Vector Machine.

Journal of Alzheimer's disease : JAD Jan 1, 2015
Alzheimer's disease (AD) is one of the most serious progressive neurodegenerative diseases among the elderly, therefore the identification of conversion to AD at the earlier stage has become a crucial issue. In this study, we applied multimodal suppo...
Support Vector Machine Magnetic Resonance Imaging Multimodal Imaging Alzheimer Disease Positron-Emission Tomography Disease Progression Cohort Studies ROC Curve Image Processing, Computer-Assisted Aged, 80 and over Sensitivity and Specificity Male Aging Brain Female Aged Humans Databases, Factual
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A Comparative Study of Bayes Net, Naive Bayes and Averaged One-Dependence Estimators for Osteoporosis Analysis.

Studies in health technology and informatics Jan 1, 2015
This paper presents an evaluation of the accuracy of the Bayesian classifiers: Bayes Net, Naive Bayes and Averaged One-Dependence Estimator, to support diagnoses of osteopenia and osteoporosis. All classifiers showed good results, thus, given data, i...
Diagnosis, Computer-Assisted Decision Support Systems, Clinical Bayes Theorem Osteoporosis Female Reproducibility of Results Sensitivity and Specificity Humans Machine Learning Algorithms
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Automated Classification of Pathology Reports.

Studies in health technology and informatics Jan 1, 2015
This work develops an automated classifier of pathology reports which infers the topography and the morphology classes of a tumor using codes from the International Classification of Diseases for Oncology (ICD-O). Data from 94,980 patients of the A.C...
Reproducibility of Results Diagnosis, Computer-Assisted Decision Support Systems, Clinical Natural Language Processing Data Mining Pattern Recognition, Automated Sensitivity and Specificity Brazil Neoplasms Prevalence International Classification of Diseases Pathology
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Rule-based Cervical Spine Defect Classification Using Medical Narratives.

Studies in health technology and informatics Jan 1, 2015
Classifying the defects occurring at the cervical spine provides the basis for surgical treatment planning and therapy recommendation. This process requires evidence from patient records. Further, the degree of a defect needs to be encoded in a stand...
Terminology as Topic Diagnosis, Computer-Assisted Decision Support Systems, Clinical Narration Algorithms Natural Language Processing Electronic Health Records Cervical Vertebrae Humans Reproducibility of Results Machine Learning Knowledge Bases Sensitivity and Specificity Spinal Stenosis Biological Ontologies
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Follow-up Recommendation Detection on Radiology Reports with Incidental Pulmonary Nodules.

Studies in health technology and informatics Jan 1, 2015
The management of follow-up recommendations is fundamental for the appropriate care of patients with incidental pulmonary findings. The lack of communication of these important findings can result in important actionable information being lost in hea...
Sensitivity and Specificity Diagnosis, Computer-Assisted Pilot Projects Decision Support Systems, Clinical Humans Machine Learning Reproducibility of Results Radiology Information Systems Vocabulary, Controlled Illinois Radiography, Abdominal Incidental Findings Natural Language Processing Data Mining Referral and Consultation Terminology as Topic
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