Abstract
The study of the management and organization of emergency services within hospitals requires a good mastery of information to make the right decisions at the right times. The chapter displays an agile decision-making methodology to deal with the massive overcrowding of emergencies, considering constraints such as the availability of human resources, the severity of patient cases, the available beds, as well as the approximation of other establishments within a similar region. Artificial immune systems have been chosen to design a piloting system within the emergency department. The developed system supplies hospital decision-makers with an effective decision-support tool to make the optimal decision when a massive patients’ influx comes into the emergency division. To build the system, two techniques have been used, that is, the negative selection and immune memory.
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Berquedich, M., Chebak, A., Kamach, O., Laayati, O., Masmoudi, M. (2022). An Artificial Immune System for the Management of the Emergency Divisions. In: Ouaissa, M., Boulouard, Z., Ouaissa, M., Guermah, B. (eds) Computational Intelligence in Recent Communication Networks . EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-77185-0_15
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