Abstract: The task of carrying out an effective and efficient decision on medical domain is a complex one, since a lot of uncertainty and vagueness is ...
The results have shown that the suggested methodology for constructing bayesian networks from fuzzy rules gives a front-end decision about the severity of ...
A detailed and clear description of the reasoning behind the core decision making module of the DSS, is included, depicting the proposed methodological issues.
The task of carrying out an effective and efficient decision on medical domain is a complex one, since a lot of uncertainty and vagueness is involved. Fuzzy ...
Medical Decision Support Tool from a Fuzzy-Rules Driven Bayesian Network. Vasilios Zarikas, Elpiniki Papageorgiou, Damira Pernebayeva, Nurislam Tursynbek.
Oct 22, 2024 · A medical decision support system is also developed based on BNs to assess pulmonary infections and to make decisions on severity degree ( ...
Jan 12, 2023 · A new algorithm is designed and implemented in this paper to set up a new Bayesian belief network using the concept of Fuzzy Weighted Association rule mining.
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These fuzzy rules are rich enough to cover a large variety of medical decisions. The method overcomes the major disadvantage of Bayesian nets, that is, the need ...
A novel method for the construction of efficient and convenient Bayesian networks (BNs) and influence diagrams regarding medical problems based on fuzzy ...