Application of data mining to intensive care unit microbiologic data.

Moser, S. A.; Jones, W. T.; Brossette, S. E.

i

Application of data mining to intensive care unit microbiologic data.

Supporting Files Public Domain

1999 May-Jun
By Moser, S. A. ; Jones, W. T. ; Brossette, S. E.

File Language:

English

Details

Alternative Title:

Emerg Infect Dis
Personal Author:

Moser, S. A. ; Jones, W. T. ; Brossette, S. E.
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.
Subjects:

Data Interpretation, Statistical Drug Resistance, Microbial Hospitals, University Humans Infection Control Information Storage And Retrieval Intensive Care Units Medical Records Systems, Computerized Population Surveillance Research Article
Source:

Emerg Infect Dis. 5(3):454-457.
Document Type:

Journal Article
Place as Subject:

Alabama
Location:

North America
Volume:

5
Issue:

3
Collection(s):

Emerging Infectious Diseases
Main Document Checksum:

urn:sha256:5a2f659970d664692cc31aa0b91eec9ffd2ec17d6547e298c451b859796b0f44
Download URL:

https://stacks.cdc.gov/view/cdc/14853/cdc_14853_DS1.pdf
File Type:

[PDF - 56.23 KB ]

10341186.nxml

Download txt
license.txt

Download txt

File Language:

English

ON THIS PAGE

Details Supporting Files

CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners.

As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.