Document Detail


Using a relational database to index infectious disease information.
MedLine Citation:
PMID:  20623018     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Mapping medical knowledge into a relational database became possible with the availability of personal computers and user-friendly database software in the early 1990s. To create a database of medical knowledge, the domain expert works like a mapmaker to first outline the domain and then add the details, starting with the most prominent features. The resulting "intelligent database" can support the decisions of healthcare professionals. The intelligent database described in this article contains profiles of 275 infectious diseases. Users can query the database for all diseases matching one or more specific criteria (symptom, endemic region of the world, or epidemiological factor). Epidemiological factors include sources (patients, water, soil, or animals), routes of entry, and insect vectors. Medical and public health professionals could use such a database as a decision-support software tool.
Authors:
Jay A Brown
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Publication Detail:
Type:  Journal Article     Date:  2010-05-04
Journal Detail:
Title:  International journal of environmental research and public health     Volume:  7     ISSN:  1660-4601     ISO Abbreviation:  Int J Environ Res Public Health     Publication Date:  2010 May 
Date Detail:
Created Date:  2010-07-12     Completed Date:  2010-10-05     Revised Date:  2013-05-29    
Medline Journal Info:
Nlm Unique ID:  101238455     Medline TA:  Int J Environ Res Public Health     Country:  Switzerland    
Other Details:
Languages:  eng     Pagination:  2177-90     Citation Subset:  IM    
Affiliation:
Specialized Information Services, National Library of Medicine, Suite 510, Bethesda, MD 20892, USA. brownjay@haz-map.com
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MeSH Terms
Descriptor/Qualifier:
Communicable Diseases*
Database Management Systems*
Diagnosis, Differential
Humans
Information Storage and Retrieval*
Comments/Corrections

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