Abstract
In this paper, a multiagent classification system is proposed for the detection of cardiorespiratory abnormalities. The system takes as inputs, the blood oxygen saturation and heart rate and classifies the vital signs using the emergency triage used in Mexico. The complete system has two agents who are responsible for obtaining and classifying the information following the emergency triage. During the classification stage, the system integrates fuzzy logic that helps generate the categorization of the data; linguistic rules were generated for both the input values (oxygen saturation and heart rate) and for the output values (data classification according to the triage). The results obtained were subjected to validation by using metrics in classification systems.
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Hernandez-Leal, F., Alanis, A., Patiño, E., Jimenez, S. (2021). Multiagent Emergency Triage Classification System for Health Monitoring. In: Jezic, G., Chen-Burger, J., Kusek, M., Sperka, R., Howlett, R.J., Jain, L.C. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2021. Smart Innovation, Systems and Technologies, vol 241. Springer, Singapore. https://doi.org/10.1007/978-981-16-2994-5_30
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