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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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Formato: | Texto |
Lenguaje: | English |
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Molecular Diversity Preservation International (MDPI)
2010
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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. |
format | Text |
id | pubmed-2898043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT brownjaya usingarelationaldatabasetoindexinfectiousdiseaseinformation |