A multivariate procedure for identifying correlations between diagnoses and over-the-counter products from historical datasets.

A multivariate procedure for identifying correlations between diagnoses and over-the-counter products from historical datasets. Research Abstract Details 

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A multivariate procedure for identifying correlations between diagnoses and over-the-counter products from historical datasets. Abstract Text:

Ran Li,Garrick L Wallstrom,William R Hogan,

A general problem in biosurveillance is finding the optimal aggregates of more basic data to monitor for the detection of disease outbreaks. We developed a multivariate procedure for identifying the set of over-the-counter (OTC) healthcare products that correlates best with a set of diagnoses. To ensure that the procedure produces results that agree with clinical knowledge of diseases and (OTC) products, we applied it to a set of products and set of diagnoses for which the correlation was known to be high. Our hypothesis was that the model could achieve parsimony in the set of diagnoses that correlate with sales of pediatric electrolytes while still producing a high correlation. The procedure narrowed the set of diagnoses that correlate with pediatric electrolytes from 51 diagnoses to eight diagnoses. The correlation of the set of 51 diagnoses with electrolyte sales was 0.95 and the correlation of the set of 8 diagnoses with electrolytes was 0.96. We conclude that the procedure functions as intended and is suitable for further testing with other problems in finding optimal aggregates of OTC products, and more generally of other types of biosurveillance data, to monitor for the detection of various disease outbreaks.

A multivariate procedure for identifying correlations between diagnoses and over-the-counter products from historical datasets. Publishing Authors By Initials

R Li,GL Wallstrom,WR Hogan,

For similar respiratory tract diseases research abstracts see: respiratory tract diseases research

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A multivariate procedure for identifying correlations between diagnoses and over-the-counter products from historical datasets. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: AMIA ... Annual Symposium proceedings / AMIA Sympo

VOLUME:

Page Numbers: 450-4

Journal Abbreviation:

ISSN: 1559-4076

DAY: 3

MONTH: 12

YEAR: 2005

A multivariate procedure for identifying correlations between diagnoses and over-the-counter products from historical datasets. Information

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LANGUAGE: eng

NlmUniqueID: 101209213

A multivariate procedure for identifying correlations between diagnoses and over-the-counter products from historical datasets. Keywords Mesh Terms:

KEYWORDS: Respiratory Tract Diseases

MESH TERMS: methods

Chemical & Substance for Abstract: A multivariate procedure for identifying correlations between diagnoses and over-the-counter products from historical datasets. Information

Substance Name: Electrolytes

Registry Number: 0

Grant and Affiliation Information for A multivariate procedure for identifying correlations between diagnoses and over-the-counter products from historical datasets.

AFFILIATION: The RODS Laboratory, University of Pittsburgh, PA, USA.

Country: United States

AGENCY: United States NLM

GRANT: 1 R21 LM0082878-01

ACRONYM: LM

MEDLINETA: AMIA Annu Symp Proc

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