Abstract
Healthcare Informatics mainly concerns with the management of patient medical information using different information technologies. The automated medical diagnosing is one of the main challenging tasks in healthcare informatics field due to diverse clinical considerations and the conflicting diagnosing that might occur. To this end, a Multi Agent Coordination-based Model (MACM) is presented in this paper to manage conflicts in decisions that might occurs during the diagnosing process. In MACM, a coordination between different agents will be applied in form of competition and negotiation processes. A Bidding Contract Competition Module (BCCM) is proposed to handle the bidding and contracting between agents. In addition, an Adaptive Bidding Protocol (ABP) is proposed to manage the bidding and selecting phases in BCCM. The performance of the proposed BCCM module are evaluated using number of experiments. The results obtained show better performance when compared to different multi agent systems.
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Elghamrawy, S. (2021). Healthcare Informatics Challenges: A Medical Diagnosis Using Multi Agent Coordination-Based Model for Managing the Conflicts in Decisions. In: Hassanien, A.E., Slowik, A., Snášel, V., El-Deeb, H., Tolba, F.M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020. AISI 2020. Advances in Intelligent Systems and Computing, vol 1261. Springer, Cham. https://doi.org/10.1007/978-3-030-58669-0_32
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