Diagnosis Of Cancer Of The Women In The Content Using Bayes Theorem
DOI:
https://doi.org/10.55537/jistr.v1i3.160Keywords:
Expert system , Bayes' theorem , uterine cancer in the womb.Abstract
Uterine cancer is a malignant process an event that occurs in female reproduction, so that the surrounding tissue cannot perform its function properly. This condition is usually accompanied by abnormal vaginal bleeding and discharge, this disease can occur repeatedly. The possibility of uterine cancer can attack the womb for pregnant women as great as those who are not pregnant. The condition of cancer in the uterus or reproduction during pregnancy is not something that is taken lightly so that it is immediately possible to take appropriate action and treatment. For proper treatment, of course, requires an expert who in this case is a doctor. However, it is not uncommon to get service and treatment from a doctor, having to wait a long time. This is because there are few doctors who handle this case but there are many patients who must be treated. This is not to mention the costs incurred are fairly large. With a fairly large cost, it is not uncommon for people to choose traditional medicine. Therefore, to overcome difficult problems and the high cost of treatment, one alternative is to provide an application to diagnose uterine cancer. With an application that can be accessed online, it makes it easier for the public to find out early on and seek treatment. The results of research that adopts an expert system and Bayes' theorem as an alternative are difficult and expensive to treat, so that people are more helped and get education from an early age.
Downloads
References
F. L. Yatim, Penyakit kandungan: myoma, kanker rahim/leher rahim dan indung telur, kista, serta gangguan lainnya. 2005.
A. Savitri, Kupas Tuntas Kanker Payudara, Leher Rahim, dan Rahim. 2015.
L. Mardiana, Kanker pada wanita. 2007.
N. Mariana, “Penerapan Algoritma k-NN (Nearest Neighbor) Untuk Deteksi Penyakit (Kanker Serviks),” 2016.
R. Rosnelly, Sistem Pakar: Konsep dan Teori. Penerbit Andi, 2012.
B. H. Hayadi, Sistem pakar. 2018.
H. Pratiwi, Buku Ajar: Sistem Pakar. .
S. Ariani, Stop kanker. 2015.
and R. K. Darmayanti, Darmayanti, Hapisah Hapisah, “Faktor-faktor yang berhubungan dengan kanker leher rahim di RSUD Ulin Banjarmasin.,” J. Kesehat.
H. Nadesul, Cara Sehat Menjadi Perempuan. Kompas, 2008.
J. Suryo, Herbal penyembuh Kanker Pada Perempuan. Bentang Pustaka,.
M. Syaifuddin, “E-Learning Dalam Pengembangan Pembelajaran Kriptografi,” JURTEKSI (Jurnal Teknol. dan Sist. Informasi), vol. VII, no. 2, pp. 117–126, 2021, [Online]. Available: https://jurnal.stmikroyal.ac.id/index.php/jurteksi/article/view/914/618.
Syaifuddin, M., “PROJECT-BASED LEARNING ON CRYPTOGRAPHIC USING LMS,” JURTEKSI (Jurnal Teknol. dan Sist. Inf., vol. 2, pp. 147-152., 2022.
and A. C. P. Ridandari, Fristi, “‘Expert System to Diagnose Extra Lung Tuberculosis Using Bayes Theorem: Expert System to Diagnose Extra Lung Tuberculosis Using Bayes Theorem.,’” J. Mantik, vol. 3.3, pp. 34-39.
T. Bayes, “"LII. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, FRS communicated by Mr. Price, in a letter to John Canton, AMFR S.,” Philos. Trans. R. Soc. London, pp. 370-418.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 msyaifuddin

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.