Abstract
The constant growth of data storage associated to medication prescriptions allows people to get powerful and useful information by applying data mining techniques. The information retrieved by the patterns found in medication prescriptions data can lead to a wide range of new management solutions and possible services optimization. In this work we present a study about medication prescriptions in northern region of Portugal. The main goal is to find possible relations among medication prescriptions themselves, and between the medication prescribed by a doctor and the lab associated with those medications. Since this kind of studies is not available in Portugal, our results provide valuable information for those working in the area that need to make decisions in order to optimize resources within health institutions.
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Acknowledgements
We would like to express our gratefulness to ARSN for their support in all the phases of this work, and specially for all the data supplied which made this work possible.
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Fernandes, J., Belo, O. (2012). Discovering Possible Patterns Associations Among Drug Prescriptions. In: Gaul, W., Geyer-Schulz, A., Schmidt-Thieme, L., Kunze, J. (eds) Challenges at the Interface of Data Analysis, Computer Science, and Optimization. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24466-7_47
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DOI: https://doi.org/10.1007/978-3-642-24466-7_47
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