DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT |
 Journal Home Volume Issue |
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Issue |
Volume-6, Issue-2, Spl. Iss-1 ( May, 2018 ) | |||||||||
Paper Title |
Exploring Classification Algorithms for the Cancer Prediction | |||||||||
Author Name |
Kim Yoonwoo | |||||||||
Affilition |
Georgia Tech (Class of 2018) Georgia Tech Station, Atlanta, Georgia Bachelor of Science in Computer ScienceSenior | |||||||||
Pages |
71-75 | |||||||||
Abstract |
AI(Artificial intelligence) doctor is being used to helping a specialist physician consider many options for cancer patient. Each person has several hundred cancer-related genes, the mutation pattern of each gene varies from person to person. AI algorithms have the power to find information related to cancer growth in genetic big data. Genetic analysis algorithm is also developing from ANN model to DBN model. The accuracy of the prediction is assured by forming multiple layers to obtain cancer information through the algorithm model. More importantly, it categorizes the data entering each layer. Depending on what data is entered, it depends on the success of the algorithm design. Keywords - Precision Medicine, Artificial intelligence (AI), Cancer Prediction, Artificial Neural Network(ANN). Deep Belief Network (DBN), Restricted Boltzmann Machine (RBM), Next Generation Sequencing(NGS). | |||||||||
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