Open AccessANALISIS TINGKAT KEBERHASILAN CRYOTERAPY MENGGUNAKAN NEURAL NETWORK
Author(s) -
Sri Rahayu,
Fitra Septia Nugraha,
Muhammad Ja’far Shidiq
Publication year - 2019
Publication title -
pilar nusa mandiri/pilar nusa mandiri
Language(s) - English
Resource type - Journals
eISSN - 2527-6514
pISSN - 1978-1946
DOI - 10.33480/pilar.v15i2.599
Subject(s) - cryotherapy , artificial neural network , value (mathematics) , computer science , momentum (technical analysis) , artificial intelligence , psychology , medicine , machine learning , surgery , business , finance
Human health is very important to always pay attention especially after someone has been declared suffering from an illness that can inhibit positive activities. One of the most feared diseases of the 20th century is cancer. This disease requires treatment that is quite expensive. Alternative treatments are cryotherapy or ice therapy. But cryotherapy also has side effects, it is necessary to do research on its success by taking into account certain conditions of the parameters. So the purpose of this study is to analyze the success of cryotherapy so that the dataset can be used as one of the benchmarks for the success of the cryotherapy tratment method. The method used in this study is the machine learning method of Neural Network with 500 training cycles, learning rate of 0,003 and momentum 0,9 which results in a good classification of obtaining quite high accuracy of 87,78% and AUC value of 0,955.