AIMC Topic:
Data Mining

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A methodology for mining clinical data: experiences from TRANSFoRm project.

Studies in health technology and informatics Jan 1, 2015
Data mining of electronic health records (eHRs) allows us to identify patterns of patient data that characterize diseases and their progress and learn best practices for treatment and diagnosis. Clinical Prediction Rules (CPRs) are a form of clinical...
Data Mining Machine Learning Algorithms Electronic Health Records Decision Support Systems, Clinical Natural Language Processing
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Health consumer-oriented information retrieval.

Studies in health technology and informatics Jan 1, 2015
While patients can freely access their Electronic Health Records or online health information, they may not be able to correctly understand the content of these documents. One of the challenges is related to the difference between expert and non-expe...
User-Computer Interface Machine Learning Natural Language Processing Health Information Systems Data Mining Electronic Health Records Patient Access to Records Consumer Health Information
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Content based image retrieval using local binary pattern operator and data mining techniques.

Studies in health technology and informatics Jan 1, 2015
Content based image retrieval (CBIR) concerns the retrieval of similar images from image databases, using feature vectors extracted from images. These feature vectors globally define the visual content present in an image, defined by e.g., texture, c...
Sensitivity and Specificity Ultrasonography Data Mining Pattern Recognition, Automated Machine Learning Reproducibility of Results Humans Capsule Endoscopy Radiology Information Systems Subtraction Technique
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Synthesizing analytic evidence to refine care pathways.

Studies in health technology and informatics Jan 1, 2015
Care pathways play significant roles in delivering evidence-based and coordinated care to patients with specific conditions. In order to put care pathways into practice, clinical institutions always need to adapt them based on local care settings so ...
Critical Pathways Evidence-Based Medicine Decision Support Systems, Clinical Data Mining Machine Learning Electronic Health Records
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Exploring brand-name drug mentions on Twitter for pharmacovigilance.

Studies in health technology and informatics Jan 1, 2015
Twitter has been proposed by several studies as a means to track public health trends such as influenza and Ebola outbreaks by analyzing user messages in order to measure different population features and interests. In this work we analyze the number...
Terminology as Topic Vocabulary, Controlled Pattern Recognition, Automated Adverse Drug Reaction Reporting Systems Prescription Drugs Social Media Natural Language Processing Data Mining Pharmacovigilance Population Surveillance
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Automatic extraction of numerical values from unstructured data in EHRs.

Studies in health technology and informatics Jan 1, 2015
Clinical data recorded in modern EHRs are very rich, although their secondary use research and medical decision may be complicated (eg, missing and incorrect data, data spread over several clinical databases, information available only within unstruc...
Electronic Health Records Natural Language Processing Medical Record Linkage Vocabulary, Controlled Meaningful Use Pattern Recognition, Automated Data Mining France
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AutoWeka: toward an automated data mining software for QSAR and QSPR studies.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2015
UNLABELLED: In biology and chemistry, a key goal is to discover novel compounds affording potent biological activity or chemical properties. This could be achieved through a chemical intuition-driven trial-and-error process or via data-driven predict...
Software Humans Data Mining Drug Discovery Neural Networks, Computer Quantitative Structure-Activity Relationship Models, Molecular Pharmaceutical Preparations
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