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A Multivariate Procedure for Identifying Correlations between Diagnoses and Over-the-counter Products from Historical Datasets
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 en...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
American Medical Informatics Association
2005
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1560722/ https://ncbi.nlm.nih.gov/pubmed/16779080 |
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