ANALYSIS OF NEURAL NETWORK CLASSIFICATION ALGORITHM TO KNOW THE SUCCESS LEVEL OF IMMUNOTHERAPY

Analisis Algoritma Klasifikasi Neural Network Untuk Mengetahui Tingkat Keberhasilan Dari Immunotherapy

Authors

  • Agung Fazriansyah STMIK Nusa Mandiri, Jakarta, Indonesia
  • Mochammad Abdul Azis Nusa Mandiri
  • Yudhistira Yudhistira Universitas Bina Sarana Informatika

DOI:

https://doi.org/10.33480/techno.v17i1.1089

Keywords:

Immunotherapy, Cancer, Neural Network

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

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Published

2020-04-20

How to Cite

Fazriansyah, A., Azis, M. A., & Yudhistira, Y. (2020). ANALYSIS OF NEURAL NETWORK CLASSIFICATION ALGORITHM TO KNOW THE SUCCESS LEVEL OF IMMUNOTHERAPY: Analisis Algoritma Klasifikasi Neural Network Untuk Mengetahui Tingkat Keberhasilan Dari Immunotherapy. Jurnal Techno Nusa Mandiri, 17(1), 57–62. https://doi.org/10.33480/techno.v17i1.1089

Issue

Vol. 17 No. 1 (2020): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of March 2020

Section

Articles

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