| Increasing the diversity of medical data mining through distributed object technology. | |
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MedLine Citation:
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PMID: 10724924 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Data mining has been recently experiencing a boom of interest from researchers and software producers. In medicine, however, its applications are still rather rare. In this paper, we argue that this is primarily due to the requirements of reproducibility of results and diversity of available data mining tools, both of which are crucially important for medical research. We propose to tackle the diversity requirement by means of distributed object technologies. The results presented here rely on our experience with medical data mining using the method GUHA and with further developing that method. |
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Authors:
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M Holena; A Sochorová; J Zvárová |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Studies in health technology and informatics Volume: 68 ISSN: 0926-9630 ISO Abbreviation: Stud Health Technol Inform Publication Date: 1999 |
Date Detail:
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Created Date: 2000-02-24 Completed Date: 2000-02-24 Revised Date: 2004-11-17 |
Medline Journal Info:
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Nlm Unique ID: 9214582 Medline TA: Stud Health Technol Inform Country: NETHERLANDS |
Other Details:
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Languages: eng Pagination: 442-7 Citation Subset: T |
Affiliation:
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Institute of Computer Science, Academy of Sciences, Prague. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Artificial Intelligence Computer Communication Networks* Computer Simulation* Database Management Systems* Expert Systems Humans Information Storage and Retrieval* Medical Records Systems, Computerized* Research Software Design |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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