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Abstract

It is a truism that time has a high relevance in medicine. The prescription of several medicines to a patient usually must satisfy timing intervals according to their composition. An incorrect administration can lead to severe consequences to the patient or in the best of the cases lower the effect of other drugs. In this paper we want to provide a solution for this problem introducing a prototype that is able to detect anomalies between doses administration in critical medicines. In this vein, we develop a software in three steps: the first one is in charge of filling a database with the commercial name of medicines, taken from the Mayo Clinic website. Once the database is complete, we design an interface to request the information about the medication of a patient and verifying the time restrictions. In a third step, if the patient selects a medicine with time restrictions, the system will search using a web scrapper and a parser for the components that may interact with the first medication, and will set a time restriction alert, facilitating the controls to provide a correct administration.

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Acknowledgments

This work has been partially supported by the European Regional Development Fund (ERDF/FEDER, UE) and the State Research Agency (AEI) of the Spanish Ministry of Economy, Industry and Competitiveness (MINECO) under grants TIN2016-76843-C4-2-R, TIN2014-56633-C3-1-R, and TIN2017-84796-C2-1-R. A. Villa Monte thanks both the National University of La Plata (Argentina) and the University of Castilla-La Mancha (Spain) for supporting his co-tutelary PhD in Computer Science and Advanced Information Technologies respectively.

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Correspondence to Cristina Puente .

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Puente, C., Sobrino, A., Villa-Monte, A., Olivas, J.A. (2020). Time-Oriented System to Control Critical Medications. In: Martínez Álvarez, F., Troncoso Lora, A., Sáez Muñoz, J., Quintián, H., Corchado, E. (eds) 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019). SOCO 2019. Advances in Intelligent Systems and Computing, vol 950. Springer, Cham. https://doi.org/10.1007/978-3-030-20055-8_52

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