Abstract
In the anesthesiology area, supporting for surgical interventions are relevant to make these procedures pain-free and comfortable for the patients. Nowadays, complexity in those methods can be simple, where medical doctors perform entire work, or assistance systems for making decisions in this task. The purpose of this paper is to present the comparison between the decision making in anesthesiology process given by medical personnel and a fuzzy logic system output based on the same information. Results based on Kappa index show that fuzzy system can provide information with almost perfect agreement about quantities of gas that have to be supplied to patients in anesthesiology action.
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Acknowledgments
Authors want to thank the Universidad Antonio Nariño, under project number 2016207 with identification PI/UAN-2017-606GIBIO, Universidad del Cauca and Universidad del Rosario for the support and financial assistance in this work.
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Guateque, M.L., Orjuela-Cañón, A.D., Acuña-Bravo, W., Jaramillo, J.J. (2017). Fuzzy Logic Systems for Assistance in the Anesthesiology Processes. In: Figueroa-García, J., López-Santana, E., Villa-Ramírez, J., Ferro-Escobar, R. (eds) Applied Computer Sciences in Engineering. WEA 2017. Communications in Computer and Information Science, vol 742. Springer, Cham. https://doi.org/10.1007/978-3-319-66963-2_37
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DOI: https://doi.org/10.1007/978-3-319-66963-2_37
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