Breast Cancer Screening Application Based on Android with the Certainty Factor Method

Suprapto; Kenty Wantri  Anita

doi:10.34306/conferenceseries.v4i1.633

Authors

Suprapto Brawijaya University
Kenty Wantri Anita Brawijaya University

DOI:

https://doi.org/10.34306/conferenceseries.v4i1.633

Keywords:

Breast Cancer Screening

Abstract

According to Globocan records, in Indonesia in 2020 there were 396.314 new cancer cases. And 234.511 people were declared dead. Women are a group with a high risk of developing cancer. If cancer is detected at an early stage, this can increase the chance of cure to 80-90%. Early detection of cancer can be done using several methods, for example, for breast cancer, the method of checking can be using the SADANIS (Clinical Breast Examination) and SADARI (Self Breast Examination) methods. In this research, a mobile application will be developed that can be used as a guide in carrying out early cancer detection independently. The early detection system uses an Android-based expert system and certainty factor method. The case study in this research is on breast cancer. Based on the results of accuracy testing with expert diagnosis as a reference, an accuracy value of 90% was obtained. The inaccuracy of this expert system is 10% which can be caused by several possibilities, namely the expert's subjectivity in providing confidence values for disease symptoms or the small number of symptoms entered.

References

H. Sung et al., “Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries,” CA Cancer J Clin, vol. 71, no. 3, 2021, doi: 10.3322/caac.21660.

J. Kusumawaty, E. Noviati, I. Sukmawati, Y. Srinayanti, and Y. Rahayu, “Efektivitas Edukasi SADARI (Pemeriksaan Payudara Sendiri) Untuk Deteksi Dini Kanker Payudara,” ABDIMAS: Jurnal Pengabdian Masyarakat, vol. 4, no. 1, 2021, doi: 10.35568/abdimas.v4i1.1177.

D. Iriani, S. Parman, A. F. Hafizh, I. Rachmawati, and Y. A. Solihah, “Ambient Media Advertisement of Catur Insan Cendekia University to Improve Brand Awareness,” ADI J. Recent Innov., vol. 5, no. 1Sp, pp. 97–110, 2023.

M. Dianatinasab et al., “Heterogeneity in risk factors for ductal and lobular breast carcinomas: A case–control study,” Int J Cancer, vol. 145, no. 11, 2019, doi: 10.1002/ijc.32182.

U. Rahardja, Q. Aini, D. Manongga, I. Sembiring, and Y. P. A. Sanjaya, “Enhancing Machine Learning with Low-Cost P M2. 5 Air Quality Sensor Calibration using Image Processing,” APTISI Trans. Manag., vol. 7, no. 3, pp. 201–209, 2023.

V. Galimberti, S. Monti, and M. G. Mastropasqua, “DCIS and LCIS are confusing and outdated terms. They should be abandoned infavor of ductal intraepithelial neoplasia (DIN) and lobular intraepithelial neoplasia (LIN),” Breast, vol. 22, no. 4, 2013, doi: 10.1016/j.breast.2013.04.010.

R. D. Affandi, H. Pratiwi, and M. I. Sa’ad, “Application of the SMARTER Method in Determining the Whitening of Study Permits and Teacher Study Tasks,” Aptisi Trans. Technopreneursh., vol. 5, no. 2, pp. 205–215, 2023.

V. V. Febiandini and M. S. Sony, “Analysis of Public Administration Challenges in the Development of Artificial Intelligence Industry 4.0,” IAIC Trans. Sustain. Digit. Innov., vol. 4, no. 2, pp. 164–168, 2023.

Q. Y. Zhao et al., “Global histone modification profiling reveals the epigenomic dynamics during malignant transformation in a Four-Stage breast cancer model,” Clin Epigenetics, vol. 8, no. 1, 2016, doi: 10.1186/s13148-016-0201-x.

N. Ramadhona, A. A. Putri, and D. S. S. Wuisan, “Students’ Opinions of the Use of Quipper School as an Online Learning Platform for Teaching English,” Int. Trans. Educ. Technol., vol. 1, no. 1, pp. 35–41, 2022.

A. S. Sembiring et al., “Implementation of Certainty Factor Method for Expert System,” in Journal of Physics: Conference Series, 2019. doi: 10.1088/1742-6596/1255/1/012065.

R. Wang, Y. Zhu, X. Liu, X. Liao, J. He, and L. Niu, “The Clinicopathological features and survival outcomes of patients with different metastatic sites in stage IV breast cancer,” BMC Cancer, vol. 19, no. 1, 2019, doi: 10.1186/s12885-019-6311-z.

M. Luke Marinovich et al., “Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection,” BMJ Open, vol. 12, no. 1, 2022, doi: 10.1136/bmjopen-2021-054005.

U. Rahardja, “Camera trap approaches using artificial intelligence and citizen science,” Int. Trans. Artif. Intell., vol. 1, no. 1, pp. 71–83, 2022.

M. Wahidin, R. Febrianti, F. Susanty, and S. R. Hasanah, “Twelve Years Implementation of Cervical and Breast Cancer Screening Program in Indonesia,” Asian Pacific Journal of Cancer Prevention, vol. 23, no. 3, 2022, doi: 10.31557/APJCP.2022.23.3.829.

J. Timbres et al., “DCIS and LCIS: Are the Risk Factors for Developing In Situ Breast Cancer Different?,” Cancers (Basel), vol. 15, no. 17, 2023, doi: 10.3390/cancers15174397.

U. Rahardja, Q. Aini, P. A. Sunarya, D. Manongga, and D. Julianingsih, “The Use of TensorFlow in Analyzing Air Quality Artificial Intelligence Predictions PM2. 5,” Aptisi Trans. Technopreneursh., vol. 4, no. 3, pp. 313–324, 2022.

American Cancer Society, “Understanding a Breast Cancer Diagnosis - Types of Breast Cancer Stages and Outlook (Prognosis),” American Cancer Society, 2017.

S. Kosasi, U. Rahardja, I. D. A. E. Yuliani, R. Laipaka, B. Susilo, and H. Kikin, “IT Governance: Performance Assessment of Maturity Levels of Rural Banking Industry,” in 2022 4th International Conference on Cybernetics and Intelligent System (ICORIS), IEEE, 2022, pp. 1–6.

U. Usanto, L. Nurlaela, A. Sopian, and F. Alfiah, “Umrah Registration System Using Extreme Programming Method Towards Worship Tourism,” Int. J. Cyber IT Serv. Manag., vol. 3, no. 1, pp. 22–31, 2023.

A. V. Lænkholm, J. Hoffmann, and F. E. Rank, “Carcinoma in situ of the breast,” Ugeskrift for Laeger, vol. 169, no. 37. 2007.

A. Tanhueco and M. M. G. Youssef, “Inflammatory Breast Cancer in Men: A rare clinical case report and a literature review,” Int J Surg Case Rep, vol. 80, 2021, doi: 10.1016/j.ijscr.2021.105696.

U. Rahardja, “Blockchain Education: as a Challenge in the Academic Digitalization of Higher Education,” IAIC Trans. Sustain. Digit. Innov., vol. 4, no. 1, pp. 62–69, 2022.