Optimizing the Combination of Forward Chaining and Certainty Factor Methods in Early Diagnosis of Tertiana and Tropical Malaria Diseases

Authors

  • Patmawati Hasan Departement of Informatics Engineering, Universitas Sepuluh Nopember Papua– 99223, Indonesia
  • Elvis Pawan Departement of Informatics Engineering, Universitas Sepuluh Nopember Papua– 99223, Indonesia

Keywords:

Certaintu factor, forward_chaining, malaria, expert_system, Atificial_intelligent

Abstract

Plasmodium falciparum and Plasmodium vivax parasites cause malaria, which is spread through the bite of infected mosquitoes. Headache, high fever, diarrhea, rapid pulse, rapid breathing, and vomiting are symptoms of malaria. Malaria is even potentially fatal because it causes heart, kidney, and even brain damage, so it is necessary to detect malaria early. This research is expected to help users detect malaria earlier and get an early diagnosis. Optimization of the combination of forward chaining and certainty factor methods in the early diagnosis of tertiana and tropical malaria diseases obtained the results of the selection of symptoms tested by patients obtained an early diagnosis of Tropical Malaria Disease by 40% and Tertiana Malaria by 72.9%. The system parameters entered are based on the symptoms of malaria.  Furthermore, the forward chaining algorithm and certainty factor are used to determine the type of malaria that the user may suffer from the data that has been entered. The test results show an average accuracy rate of 90% from fifty patient samples with various data variants, which shows that the system has worked well.

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Published

11.01.2024

How to Cite

Hasan, P. ., & Pawan, E. . (2024). Optimizing the Combination of Forward Chaining and Certainty Factor Methods in Early Diagnosis of Tertiana and Tropical Malaria Diseases. International Journal of Intelligent Systems and Applications in Engineering, 12(11s), 502–511. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4470

Issue

Vol. 12 No. 11s (2024)

Section

Research Article

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