Expert System for Diagnosis of Uterine Myomas using the Certainty Factor Method

Syahrizal Dwi Putra, M Bahrul Ulum, Diah Aryani

Abstract


An expert system which is part of artificial intelligence is a computer system that is able to imitate the reasoning of an expert with certain expertise. An expert system in the form of software can replace the role of an expert (human) in the decision-making process based on the symptoms given to a certain level of certainty. This study raises the problem that many women experience, namely not understanding that they have uterine myomas. Many women do not understand and are not aware that there are already symptoms that are felt and these symptoms are symptoms of the presence of uterine myomas in their bodies. Therefore, it is necessary for women to be able to diagnose independently so that they can take treatment as quickly as possible. In this study, the expert will first provide the expert CF values. Then the user / respondent gives an assessment of his condition with the CF User values. In the end, the values obtained from these two factors will be processed using the certainty factor formula. Users must provide answers to all questions given by the system in accordance with their current conditions. After all the conditions asked are answered, the system will display the results to identify that the user is suffering from uterine myoma disease or not. The Expert System with the certainty factor method was tested with a patient who entered the symptoms experienced and got the percentage of confidence in uterine myomas/fibroids of 98.70%. These results indicate that an expert system with the certainty factor method can be used to assist in diagnosing uterine myomas as early as possible.


Keywords


Disease diagnosis system, Expert System, Certainty Factor, Uterine Myomas

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References


Tumaji, Rukmini, Oktarina, and N. Izza, “Pengaruh Riwayat Kesehatan Reproduksi terhadap Kejadian Mioma Uteri pada Perempuan di Perkotaan Indonesia,” Buletin Penelitian Sistem Kesehatan, vol. 23, no. 2, pp. 89–98, 2020, doi: 10.22435/hsr.v23i2.3238.

E. Stewart, C. Cookson, R. Gandolfo, and R. Schulze-Rathc, “Epidemiology of uterine fibroids: a systematic review,” BJOG: An International Journal of Obstetrics and Gynaecology, vol. 124, no. 10, pp. 1501–1512, Sep. 2017, doi: 10.1111/1471-0528.14730.

A. A. Ekine, L. O. Lawani, C. A. Iyoke, I. Jeremiah, and I. A. Ibrahim, “Review of the Clinical Presentation of Uterine Fibroid and the Effect of Therapeutic Intervention on Fertility,” American Journal of Clinical Medicine Research, vol. 3, no. 1, pp. 9–13, 2015, doi: 10.12691/ajcmr-3-1-2.

I. Laning, I. Manurung, and A. Sir, “Faktor Risiko yang Berhubungan dengan Kejadian Penyakit Mioma Uteri,” Lontar : Journal of Community Health, vol. 1, no. 3, pp. 95–102, 2019, doi: 10.35508/ljch.v1i3.2174.

A. Mas, M. Tarazona, J. Dasí Carrasco, G. Estaca, I. Cristóbal, and J. Monleón, “Updated approaches for management of uterine fibroids,” International Journal of Women’s Health, vol. 9, pp. 607–617, Sep. 2017, doi: 10.2147/IJWH.S138982.

G. S. Sohn, S. H. Cho, Y. M. Kim, C. H. Cho, M. R. Kim, and S. R. Lee, “Current medical treatment of uterine fibroids,” Obstetrics and Gynecology Science, vol. 61, no. 2. Korean Society of Obstetrics and Gynecology, pp. 192–201, Mar. 01, 2018. doi: 10.5468/ogs.2018.61.2.192.

J. A. Widians, N. Puspitasari, and A. Febriansyah, “Disease Diagnosis System Using Certainty Factor,” in 2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE), 2019, pp. 303–308. doi: 10.1109/ICEEIE47180.2019.8981421.

D. Adhar, Syafrizal, E. Panggabean, L. Sipahutar, and M. Reza Fahlevi, “Expert System to Diagnose Gastritis Disease Using the Certainty Factor Method,” in 7th International Conference on Cyber and IT Service Management (CITSM), 2019, pp. 1–5. doi: 10.1109/CITSM47753.2019.8965363.

Handrizal, E. M. Zamzami, and M. Arif, “Expert System in Periodontal Diseases Diagnosis Using the Certainty Factor Method,” in Journal of Physics: Conference Series, Jun. 2021, vol. 1898, no. 1. doi: 10.1088/1742-6596/1898/1/012004.

Sumiati, H. Saragih, T. K. A. Rahman, and A. Triayudi, “Expert system for heart disease based on electrocardiogram data using certainty factor with multiple rule,” IAES International Journal of Artificial Intelligence, vol. 10, no. 1, pp. 43–50, 2021, doi: 10.11591/ijai.v10.i1.pp43-50.

C. Kirana, H. A. Pradana, and R. Sulaiman, “Intestine Disease Diagnosis System Using Certainty Factor Method,” Scientific Journal of Informatics, vol. 6, no. 1, pp. 2407–7658, 2019, [Online]. Available: http://journal.unnes.ac.id/nju/index.php/sji

A. S. Sembiring et al., “Implementation of Certainty Factor Method for Expert System,” in Journal of Physics: Conference Series, Sep. 2019, vol. 1255, no. 1. doi: 10.1088/1742-6596/1255/1/012065.




DOI: https://doi.org/10.52088/ijesty.v1i4.177

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