Akademik Məlumat İdarəetmə Sistemi
12th International Conference on Theory and Application of Soft Computing, Computing with Words and Perception and Artificial Intelligence, ICSCCW 2024, Budva, Montenegro, 26 - 27 August 2024, vol.1622 LNNS, pp.221-228, (Full Text)
Expert systems are currently widely utilized in medicine for many illness types’ diagnosis, evaluation, and therapy. While exact values are occasionally produced, the majority of outputs from different kinds of diagnosis expert systems are closed values that are subject to human judgment. There is currently a lack of an all-inclusive approach for the diagnosis and management of different types of malaria. The purpose of this project was to design a malaria diagnosis system. Direct interviews with medical professionals were used to gather information for the system, and the information was then represented in a rule-based approach. These guidelines establish if an individual is healthy or has simple malaria, severe malaria, or is at risk of developing malaria. The relevant internists attested to the two methods’ congruence. Since there are more and more cases of malaria every day, the technology that has been built may be utilized effectively to diagnose cases of the disease. This will help both patients and doctors save time and become less dependent on one another.