On the Prediction of Clusters for Adverse Reactions and Allergies on Antibiotics for Children to Improve Biomedical Decision MakingReport as inadecuate




On the Prediction of Clusters for Adverse Reactions and Allergies on Antibiotics for Children to Improve Biomedical Decision Making - Download this document for free, or read online. Document in PDF available to download.

1 Faculty of Engineering Tuzla 2 Stanford University School of Medicine Stanford 3 HCI4MED - Research Unit Human-Computer Interaction for Medicine & Health Care

Abstract : In this paper, we report on a study to discover hidden patterns in survey results on adverse reactions and allergy ARA on antibiotics for children. Antibiotics are the most commonly prescribed drugs in children and most likely to be associated with adverse reactions. Record on adverse reactions and allergy from antibiotics considerably affect the prescription choices. We consider this a biomedical decision problem and explore hidden knowledge in survey results on data extracted from the health records of children, from the Health Center of Osijek, Eastern Croatia. We apply the K-means algorithm to the data in order to generate clusters and evaluate the results. As a result, some antibiotics form their own clusters. Consequently, medical professionals can investigate these clusters, thus gaining useful knowledge and insight into this data for their clinical studies.

Keywords : Adverse reactions and allergy ARA knowledge discovery biomedical data mining k-means algorithm





Author: Pinar Yildirim - Ljiljana Majnarić - Ozgur Ekmekci - Andreas Holzinger -

Source: https://hal.archives-ouvertes.fr/



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