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Using a Relational Database to Index Infectious Disease Information

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 det...

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Detalles Bibliográficos
Autor principal: Brown, Jay A.
Formato: Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2898043/
https://www.ncbi.nlm.nih.gov/pubmed/20623018
http://dx.doi.org/10.3390/ijerph7052177
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author Brown, Jay A.
author_facet Brown, Jay A.
author_sort Brown, Jay A.
collection PubMed
description 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.
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spelling pubmed-28980432010-07-09 Using a Relational Database to Index Infectious Disease Information Brown, Jay A. Int J Environ Res Public Health Article 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. Molecular Diversity Preservation International (MDPI) 2010-05 2010-05-04 /pmc/articles/PMC2898043/ /pubmed/20623018 http://dx.doi.org/10.3390/ijerph7052177 Text en © 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Brown, Jay A.
Using a Relational Database to Index Infectious Disease Information
title Using a Relational Database to Index Infectious Disease Information
title_full Using a Relational Database to Index Infectious Disease Information
title_fullStr Using a Relational Database to Index Infectious Disease Information
title_full_unstemmed Using a Relational Database to Index Infectious Disease Information
title_short Using a Relational Database to Index Infectious Disease Information
title_sort using a relational database to index infectious disease information
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2898043/
https://www.ncbi.nlm.nih.gov/pubmed/20623018
http://dx.doi.org/10.3390/ijerph7052177
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