ANALYSIS OF NEURAL NETWORK CLASSIFICATION ALGORITHM TO KNOW THE SUCCESS LEVEL OF IMMUNOTHERAPY
Analisis Algoritma Klasifikasi Neural Network Untuk Mengetahui Tingkat Keberhasilan Dari Immunotherapy
Abstract
Cancer is a disease that is feared by humans at this stage, the genetic term of most diseases that have the characteristics of abnormal cell growth and beyond the normal cell limits so that they can attack cells that cover and are able to spread to other organs. For cancer recovery therapy is immunization therapy. Of course in this alternative treatment still needs to be done research to determine the level of success with existing conditions and parameters. Increasingly sophisticated, developing technology that helps human work. The neural network algorithm is used to analyze large datasets, the purpose of this study is to find the accuracy and immunotherapy methods of the dataset using a neural network learning machine with 200 data training cycles, 0.9 momentum and 0.01 learning levels that produce quite high accuracy 80 % and AUC value of 0.738
References
Fazriansyah, A., Azis, M. A., & Yudhistira, Y. (2019). Final Report of Independent Research: Analysis Of Neural Network Classification Algorithm To Know The Success Level Of Immunotherapy.
Hastuti, K. (2012). ANALISIS KOMPARASI ALGORITMA KLASIFIKASI DATA MINING UNTUK PREDIKSI MAHASISWA NON AKTIF. SEMANTIK, 2(1), 241–249. http://publikasi.dinus.ac.id/index.php/semantik/article/view/132
Indriani, A., & Nbc, D. (2014). Klasifikasi Data Forum dengan menggunakan Metode Naïve Bayes Classifier. 5–10.
Rahayu, S., Nugraha, F. S., & Shidiq, M. J. (2019). Analisa tingkat keberhasilan cryoterapy menggunakan neural network. Jurnal Pilar Nusa Mandiri, 15(2), 1–7. https://doi.org/10.33480/pilar.v15i2.599
Sucipto, A. (2015). CREDIT PREDICTION WITH NEURAL NETWORK ALGORITHM Ir . Adi Sucipto , M . Kom . Sains and Technology Faculty Universitas Islam Nahdlatul Ulama Jepara. PROSIDING SEMINAR NASIONAL MULTI DISIPLIN ILMU & CALL FOR PAPERS UNISBANK (SENDI_U), 15, 978–979. https://www.unisbank.ac.id/ojs/index.php/sendi_u/article/view/3343/
Sulaiman, F. H., Yulianti, K., & Husain, H. S. (2019). MODEL MATEMATIKA TERAPI KANKER MENGGUNAKAN KEMOTERAPI, IMUNOTERAPI DAN BIOCHEMOTHERAPY. Jurnal EurekaMatika, 7(1), 1–10. https://ejournal.upi.edu/index.php/JEM/article/view/17883
Supriyatna, A., & Mustika, W. P. (2018). Komparasi Algoritma Naive bayes dan SVM Untuk Memprediksi Keberhasilan Imunoterapi Pada Penyakit Kutil. J-SAKTI (Jurnal Sains Komputer Dan Informatika), 2(2), 152. https://doi.org/10.30645/j-sakti.v2i2.78
Widowati, L., & Mudahar, H. (2009). Uji Aktivitas Ekstrak Etanol 50°/o Umbi Keladi Tikus (Typhonium Flagelliforme (Lood) Bl) Terhadap Sel Kanker Payudara Mcf-7 in Vitro. Media Penelitian Dan Pengembangan Kesehatan, 19(1), 6–14. http://repository.litbang.kemkes.go.id/1368/1/882-1872-1-PB.pdf
Abstract viewed = 78 times
PDF downloaded = 63 times
