ANDROID APPLICATION FOR DETECTION OF SKIN CANCER USING EXPERT SYSTEM

Authors

  • Yogi Udjaja Bina Nusantara University

DOI:

https://doi.org/10.21512/seeij.v2i1.5561

Abstract

Skin cancer is an abnormal growth of human skin that can damage skin cells. By knowing the symptoms of skin cancer as early as posssible, it is helpful in preventing the spread of cancer cells and treatment. There are many factors that cause skin cancer, but in general the cause is exposure to ultraviolet rays from the sun. Therefore, an expert system application is required to detect
skin cancer. By using backward chining and probalility methode; which data is in form of someone’s risk factor and clinical sympthoms, then the application will provide temporary diagnosis. This application is built in an android platfrom because in its development android is more used than other platforms. The accuracy obtained from this application is 96.67%.

Dimensions

Plum Analytics

References

Anwar, A., & Hassan, S. I. (2017). Applying Artificial Intelligence Techniques to Prevent Cyber Assaults. International Journal of Computational Intelligence Research, 13(5), 883-889.

Behera, T. K., & Panigrahi, S. (2017). Credit Card Fraud Detection Using a Neuro-Fuzzy Expert System. In Computational Intelligence in Data Mining (pp. 835-843). Springer, Singapore.

Bohlouli, M., Mittas, N., Kakarontzas, G., Theodosiou, T., Angelis, L., & Fathi, M. (2017). Competence assessment as an expert system for human resource management: A mathematical approach. Expert Systems with Applications, 70, 83-102.

Carucci, John A.; Leffell, David J., & Pettersen, J. S. (2008). Basal cell carcinoma. Fitzpatrick's dermatology in general medicine, 1, 1036-42.

Grossman, Douglas, Leffell, David. J. (2008). Squamous cell carcinoma. Fitzpatrick's dermatology in

general medicine, 1, 1028-36.

Gumbricht, T., Roman‐Cuesta, R. M., Verchot, L., Herold, M., Wittmann, F., Householder, E., ... & Murdiyarso, D. (2017). An expert system model for mapping tropical wetlands and peatlands reveals South America as the largest contributor. Global Change Biology.

Hu, Q., Lv, S., Shi, Z., Sun, L., & Xiao, L. (2017, June). Defense Against Advanced Persistent Threats with Expert System for Internet of Things. In International Conference on Wireless Algorithms,

Systems, and Applications. (pp. 326-337). Springer, Cham.

InfoDATIN: Pusat Data dan Informasi Kementrian Kesehatan RI. (2015). Stop Kanker. Jakarta: Kementrian Kesehatan RI.

Kamnardsiri, T., Hongsit, L. O., Khuwuthyakorn, P., & Wongta, N. (2017). The Effectiveness of the Game-Based Learning System for the Improvement of American Sign Language using Kinect. Electronic Journal of e-Learning, 15(4).

Kementrian Komunikasi dan Informatika. (2016). Indonesia Raksasa Teknologi Digital Asia. Retrived from: https://kominfo.go.id/index.php/content/detail/6095/Indonesia+Raksasa+Teknologi+Digital+Asia/0/sorotan_media

Kusumadewi, Sri. (2003). Artificial Intelligence (Teknik dan Aplikasinya). 1st edition. Yogyakarta: Graha Ilmu.

Mehmanpazir, F., & Asadi, S. (2017). Development of an evolutionary fuzzy expert system for estimating future behavior of stock price. Journal of Industrial Engineering International, 13(1), 29-46.

Merritt, Dennis. (2011). Building Expert Systems in Prolog. 1st edition. Lebanon: Springer. ISBN: 1461389135.

Nicolau, A. D. S., Augusto, J. P. D. S., & Schirru, R. (2017). Accident diagnosis system based on realtime decision tree expert system. In AIP Conference Proceedings (Vol. 1836, No.1, p.020017). AIP Publishing.

Pinheiro, D., (2012). An overview of Probability, Statistics and Stochastic Processes. 1st edition. Portugal: University Institute of Lisbon

Stockfleth, E., Rosen, T., & Schumaak, S. (Eds.). (2010). Managing skin cancer. Springer Science &

Business Media.

Tan, Sukmawati Tansil & Reginata, Gabriella. (2015). Diagnosis dan Tatalaksana Karsinoma Sel Basal. Continuing Medical Education. Vol.42. No.12. page. 897-900.

Tan, Sukmawati Tansil & Dewi, Isabella Pusma. (2015). Melanoma Maligna. Continuing Medical Education. Vol.42. No.12. page. 908-912.

World Health Organization. (2016). Skin Cancers: How common is skin cancer. Retrived from: http://www.who.int/uv/faq/skincancer/en/index1.html.

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Published

2018-03-17

How to Cite

Udjaja, Y. (2018). ANDROID APPLICATION FOR DETECTION OF SKIN CANCER USING EXPERT SYSTEM. Social Economics and Ecology International Journal (SEEIJ), 2(1). https://doi.org/10.21512/seeij.v2i1.5561

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