Paper Title :Exploring Classification Algorithms for the Cancer Prediction
Author :Kim Yoonwoo
Article Citation :Kim Yoonwoo ,
(2018 ) " Exploring Classification Algorithms for the Cancer Prediction " ,
International Journal of Advances in Science, Engineering and Technology(IJASEAT) ,
pp. 71-75,
Volume-6, Issue-2, Spl. Iss-1
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).
Type : Research paper
Published : Volume-6, Issue-2, Spl. Iss-1
Copyright: © Institute of Research and Journals
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Published on 2018-08-01 |
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