AIMC Topic: Data Interpretation, Statistical

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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...
Atrial Premature Complexes Diagnosis, Computer-Assisted Pattern Recognition, Automated Bundle-Branch Block Electrocardiography Ventricular Premature Complexes Regression Analysis Humans Diagnosis, Differential Neural Networks, Computer Algorithms Data Interpretation, Statistical Reproducibility of Results Sensitivity and Specificity
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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...
Supervised Machine Learning Pattern Recognition, Automated False Positive Reactions Stochastic Processes Radiographic Image Enhancement Sample Size Data Interpretation, Statistical Humans Radiographic Image Interpretation, Computer-Assisted Breast Neoplasms Female Models, Statistical Neural Networks, Computer Reproducibility of Results Sensitivity and Specificity Algorithms Computer Simulation
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A Statistical Analysis of Term Occurrences in Radiology Reporting.

Studies in health technology and informatics Jan 1, 2015
To compare term occurrences in free-text radiology reports and RSNA reporting templates, we selected five templates from an RSNA reporting template library and their corresponding free-text reports as a test set, and employed the Wilcoxon signed-rank...
Electronic Health Records Radiology Information Systems North America Data Mining Natural Language Processing Pattern Recognition, Automated Data Interpretation, Statistical Terminology as Topic
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Interpreting Medical Information Using Machine Learning and Individual Conditional Expectation.

Studies in health technology and informatics Jan 1, 2015
Recently, machine-learning techniques have spread many fields. However, machine-learning is still not popular in medical research field due to difficulty of interpreting. In this paper, we introduce a method of interpreting medical information using ...
Likelihood Functions Effect Modifier, Epidemiologic Data Interpretation, Statistical Decision Support Systems, Clinical Data Mining Humans Natural Language Processing Outcome Assessment, Health Care Machine Learning Algorithms Electronic Health Records
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Evaluating Methods for Identifying Cancer in Free-Text Pathology Reports Using Various Machine Learning and Data Preprocessing Approaches.

Studies in health technology and informatics Jan 1, 2015
Automated detection methods can address delays and incompleteness in cancer case reporting. Existing automated efforts are largely dependent on complex dictionaries and coded data. Using a gold standard of manually reviewed pathology reports, we eval...
Natural Language Processing Data Interpretation, Statistical Data Mining Diagnosis, Computer-Assisted Decision Support Systems, Clinical Pathology Humans Machine Learning Electronic Health Records Neoplasms
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A Frequency-based Strategy of Obtaining Sentences from Clinical Data Repository for Crowdsourcing.

Studies in health technology and informatics Jan 1, 2015
In clinical NLP, one major barrier to adopting crowdsourcing for NLP annotation is the issue of confidentiality for protected health information (PHI) in clinical narratives. In this paper, we investigated the use of a frequency-based approach to ext...
Language Natural Language Processing Data Interpretation, Statistical Machine Learning Electronic Health Records Minnesota Terminology as Topic Semantics Vocabulary, Controlled Crowdsourcing Pattern Recognition, Automated
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Sampling from Determinantal Point Processes for Scalable Manifold Learning.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
High computational costs of manifold learning prohibit its application for large datasets. A common strategy to overcome this problem is to perform dimensionality reduction on selected landmarks and to successively embed the entire dataset with the N...
Imaging, Three-Dimensional Head and Neck Neoplasms Models, Statistical Humans Reproducibility of Results Artificial Intelligence Sensitivity and Specificity Algorithms Radiographic Image Interpretation, Computer-Assisted Computer Simulation Sample Size Pattern Recognition, Automated Tomography, X-Ray Computed Data Interpretation, Statistical Radiographic Image Enhancement Signal Processing, Computer-Assisted
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