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Application of data mining to intensive care unit microbiologic data.
We describe refinements to and new experimental applications of the Data Mining Surveillance System (DMSS), which uses a large electronic health-care database for monitoring emerging infections and antimicrobial resistance. For example, information from DMSS can indicate potentially important shifts...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
1999
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2640757/ https://www.ncbi.nlm.nih.gov/pubmed/10341186 |
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author | Moser, S A Jones, W T Brossette, S E |
author_facet | Moser, S A Jones, W T Brossette, S E |
author_sort | Moser, S A |
collection | PubMed |
description | We describe refinements to and new experimental applications of the Data Mining Surveillance System (DMSS), which uses a large electronic health-care database for monitoring emerging infections and antimicrobial resistance. For example, information from DMSS can indicate potentially important shifts in infection and antimicrobial resistance patterns in the intensive care units of a single health-care facility. |
format | Text |
id | pubmed-2640757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1999 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-26407572009-05-20 Application of data mining to intensive care unit microbiologic data. Moser, S A Jones, W T Brossette, S E Emerg Infect Dis Research Article We describe refinements to and new experimental applications of the Data Mining Surveillance System (DMSS), which uses a large electronic health-care database for monitoring emerging infections and antimicrobial resistance. For example, information from DMSS can indicate potentially important shifts in infection and antimicrobial resistance patterns in the intensive care units of a single health-care facility. Centers for Disease Control and Prevention 1999 /pmc/articles/PMC2640757/ /pubmed/10341186 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Article Moser, S A Jones, W T Brossette, S E Application of data mining to intensive care unit microbiologic data. |
title | Application of data mining to intensive care unit microbiologic data. |
title_full | Application of data mining to intensive care unit microbiologic data. |
title_fullStr | Application of data mining to intensive care unit microbiologic data. |
title_full_unstemmed | Application of data mining to intensive care unit microbiologic data. |
title_short | Application of data mining to intensive care unit microbiologic data. |
title_sort | application of data mining to intensive care unit microbiologic data. |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2640757/ https://www.ncbi.nlm.nih.gov/pubmed/10341186 |
work_keys_str_mv | AT mosersa applicationofdataminingtointensivecareunitmicrobiologicdata AT joneswt applicationofdataminingtointensivecareunitmicrobiologicdata AT brossettese applicationofdataminingtointensivecareunitmicrobiologicdata |