AIMC Topic: Data Interpretation, Statistical

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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...
Humans Machine Learning Electronic Health Records Neoplasms Diagnosis, Computer-Assisted Decision Support Systems, Clinical Natural Language Processing Data Interpretation, Statistical Data Mining Pathology
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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...
Machine Learning Electronic Health Records Language Natural Language Processing Data Interpretation, Statistical Semantics Pattern Recognition, Automated Terminology as Topic Vocabulary, Controlled Crowdsourcing Minnesota
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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...
Humans Artificial Intelligence Algorithms Computer Simulation Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Imaging, Three-Dimensional Head and Neck Neoplasms Models, Statistical Sample Size Data Interpretation, Statistical Signal Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Radiographic Image Enhancement
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