Abstract
Cardiovascular diseases (CVDs) represent serious threats to human health, causing considerable problems for the healthcare ecosystem. Medical Decision Support Systems (MDSS) have emerged as important instruments against various illnesses. However, Intelligent MDSS has substantial obstacles in interpreting complex medical data, uncertainty in noisy and imprecise data, overfitting, and the necessity for lightweight solutions. This comprehensive review study offers a thoughtful approach strategy for improving the effectiveness, the interpretability and the portability of MDSS for CVD. It combines previous studies and systems, highlighting their advantages. A speculative proposal for a new MDSS is discussed based on this study. The proposed a thoughtful approach merges the Internet of Medical Things (IoMT), Artificial Intelligence (AI), Cloud Computing, and Fuzzy Logic. Whereas the scope of this assessment does not pass for a detailed design, the suggested system has the potential to enhance patient care and outcomes in CVD.
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Menaceur, N.E., Kouah, S., Derdour, M. (2023). IoT-Based Intelligent Medical Decision Support System for Cardiovascular Diseases. In: Kabassi, K., Mylonas, P., Caro, J. (eds) Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023). NiDS 2023. Lecture Notes in Networks and Systems, vol 784. Springer, Cham. https://doi.org/10.1007/978-3-031-44146-2_12
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DOI: https://doi.org/10.1007/978-3-031-44146-2_12
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