data mining

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data mining

The process of exploring and analysing databases to find previously unidentified patterns of data—popularly known as “hidden data”—which can be exploited for various purposes and produce new insights on outcomes, alternative treatments or effects of treatment on different populations.
Segen's Medical Dictionary. © 2012 Farlex, Inc. All rights reserved.

mining

(mi'ning) [ME]
1. The extraction of useful information from a database. Synonym: data mining
2. The extraction from the earth of materials with industrial value, such as coal, silver, or gold. Miners are exposed to various occupational disorders, including respiratory diseases (e.g., pneumoconiosis), allergies, and traumatic injuries.

data mining

Mining (1).
Medical Dictionary, © 2009 Farlex and Partners
References in periodicals archive ?
After emerging big data analysis with unstructured data, text mining has been raising as a remarkable method to extract the information and the clue from unstructured text documents.
An important task of text mining is hypothesis generation to predict unknown biomedical facts from biomedical articles.
The textual datasets are analyzed using different text mining techniques like information retrieval, natural language processing, information extraction, summarization, clustering and visualization etc.
The medical verbosity disparity between online health seeker and the provider are restricted by using text mining approaches to augment solutions in community based health care structures that shows a prodigious performance growth.
There are numerous vendors supplying sophisticated text mining packages, such as SAS Text Miner, IBM SPSS Modeler and Statistica Text Miner.
* Text Mining e uma forma de examinar uma colecao de documentos e descobrir informacao nao contida em nenhum dos documentos.
Evaluate your analytics partners' ability to achieve fast customization by starting with a framework that contains a pre-built data model that can include inputs from multiple sources such as transactional, syndicated data and unstructured data, as well as a fraud engine with predictive modeling and text mining. It is also important that they have expertise in data science.
Novel methodology for semi-automatic ontology extension aggregating the elements of text mining and user-dialog approaches is proposed in [26].
Top new technologies on their shopping lists include predictive modeling and text mining capabilities.
The challenge for biomedical text mining is to assert its usefulness both for acquiring information with quality that approaches (or surpasses) hand-curated data and for reaching the widest coverage for [11]) system-wide analysis (e.g., characterizing complex diseases.
To access text-based information, data mining and text mining techniques are used.