Expert System with Diagnosis of Blood Cancer (Leukaemia) with the Certainty Factor Method

S Silvilestari(1*),

(1) Informatics Management Study Program, Akademi Manajemen Informatika dan Komputer Kosgoro
(*) Corresponding Author

Abstract


Blood cancer or called leukaemia usually affects children with a high risk of death. Lack of knowledge about leukaemia is the cause that affects parents to search for information. By looking at the condition of children who are still unable to think for themselves. Will make a concern for the people around him to help them overcome their problems. Parents or immediate family must supervise the child's development and development for the recovery of their child. To help the process of healing children who have leukaemia, parents must be active in seeking information about the disease. So that if there is a symptom, the parents are more sensitive. They can recognize and immediately prevent the leukaemia disease, in this study an application in the diagnosis of leukaemia is carried out using the help of an expert system which is used to assist in diagnosing leukaemia using certainty methods. Factor. The results of using the certainty factor method based on the symptoms and criteria possessed by patients with leukaemia patients will show a fairly high percentage and accuracy as a tool that shows the conditions experienced by people living with leukaemias.


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References


B. D. Cheson and R. M. Meyer, “Chronic Lymphocytic Leukimia,” Evidence-Based Hematol., pp. 294–299, 2009, doi: 10.1002/9781444300857.ch36.

J. M. Corchado, J. F. De Paz, S. Rodríguez, and J. Bajo, “Model of experts for decision support in the diagnosis of leukimia patients,” Artif. Intell. Med., vol. 46, no. 3, pp. 179–200, 2009, doi: 10.1016/j.artmed.2008.12.001.

D. Harto, “Perancangan Sistem Pakar Untuk Mengidentifikasi Penyakit Pada Tanaman Semangka Dengan Menggunakan Metode Certainty Factor,” J. Pelita Inform. Budi Darma, vol. IV, no. 2, pp. 22–27, 2013.

A. S. Sembiring et al., “Implementation of Certainty Factor Method for Expert System,” J. Phys. Conf. Ser., vol. 1255, no. 1, 2019, doi: 10.1088/1742-6596/1255/1/012065.

S. A. Putri and E. P. Saputra, “Perancangan Aplikasi Sistem Pakar Diagnosa Awal Kanker Reproduksi Wanita Dengan Metode Certainty Factor,” J. Media Inform. Budidarma, vol. 2, no. 3, pp. 63–68, 2018, doi: 10.30865/mib.v2i3.659.

A. Sulistyohati, T. Hidayat, K. Kunci: Ginjal, S. Pakar, and M. Dempster-Shafer, “Aplikasi Sistem Pakar Diagnosa Penyakit Ginjal Dengan Metode Dempster-Shafer,” Semin. Nas. Apl. Teknol. Inf., vol. 2008, no. Snati, pp. 1907–5022, 2008.

M. S. Hossain, F. Ahmed, Fatema-Tuj-Johora, and K. Andersson, “A Belief Rule Based Expert System to Assess Tuberculosis under Uncertainty,” J. Med. Syst., vol. 41, no. 3, 2017, doi: 10.1007/s10916-017-0685-8.

M. Blanke, M. Kinnaert, J. Lunze, and M. Staroswiecki, “Diagnosis and fault-tolerant control, third edition,” Diagnosis Fault-Tolerant Control. Third Ed., pp. 1–695, 2016, doi: 10.1007/978-3-662-47943-8.

M. Sihombing and M. Ayub, “Sistem Pakar Berbasis Web sebagai Alat Bantu Pembelajaran Mahasiswa Kedokteran untuk Penyakit Kanker Darah pada Anak,” J. Inform., vol. 6, no. 1, pp. 1–10, 2010.

Z. Chen, S. Liang, Y. Ke, Z. Yang, and H. Zhao, “Landslide susceptibility assessment using evidential belief function, certainty factor and frequency ratio model at Baxie River basin, NW China,” Geocarto Int., vol. 34, no. 4, pp. 348–367, 2019, doi: 10.1080/10106049.2017.1404143.

N. Zahroh and Y. Findawati, “Sistem Pakar Diagnosa Penyakit Kista Ovarium Menggunakan Metode Certainty Factor Berbasis Web,” Justit Umj, vol. 8, 2018.




DOI: https://doi.org/10.30645/ijistech.v4i1.75

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