@article{ART002376790},
author={Kim Chul Jin and Kim JiSeong},
title={A Study of Heart Disease Prediction Using Multilayer Perceptron based on Deep Learning},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2018},
volume={13},
number={4},
pages={411-419},
doi={10.34163/jkits.2018.13.4.001}
TY - JOUR
AU - Kim Chul Jin
AU - Kim JiSeong
TI - A Study of Heart Disease Prediction Using Multilayer Perceptron based on Deep Learning
JO - Journal of Knowledge Information Technology and Systems
PY - 2018
VL - 13
IS - 4
PB - Korea Knowledge Information Technology Society
SP - 411
EP - 419
SN - 1975-7700
AB - Deep Learning, an advanced technology for machine learning, is currently being applied to various industrial fields and is being actively applied and developed in the fields of finance, e-commerce, and Internet of Thing, which require prediction. In particular, this study will be applied to the prediction of heart disease in the medical field, and it will provide the advantage of early detection of heart disease or saving medical treatment cost such as angiography for non-heart disease patient. To apply the Multilayer Perceptron machine learning technique for Deep Learning, 2 Hidden Layers and 10 Perceptons can be constructed to improve learning accuracy. By using Back Propagation during learning, it is reversed from the Output Layer to the Hidden Layer so as to reduce the error. The error is reduced by using ReLU or Sigmoid function, and the generated prediction model optimizes the model through the Adam optimization function. In a case study, heart disease data is learned using heart disease diagnosis and presence or absence of heart disease provided by the Machine Learning & Artificial Intelligence System Center at the University of California, Irvine. The Deep Learning module is developed using a Python-based TensorFlow and validated using randomly extracted data samples from heart disease data after learning.
KW - Deep learning;Heart disease prediction;Multilayer perceptron;Back propagation;TensorFlow
DO - 10.34163/jkits.2018.13.4.001
ER -
Kim Chul Jin and Kim JiSeong. (2018). A Study of Heart Disease Prediction Using Multilayer Perceptron based on Deep Learning. Journal of Knowledge Information Technology and Systems, 13(4), 411-419.
Kim Chul Jin and Kim JiSeong. 2018, "A Study of Heart Disease Prediction Using Multilayer Perceptron based on Deep Learning", Journal of Knowledge Information Technology and Systems, vol.13, no.4 pp.411-419. Available from: doi:10.34163/jkits.2018.13.4.001
Kim Chul Jin, Kim JiSeong "A Study of Heart Disease Prediction Using Multilayer Perceptron based on Deep Learning" Journal of Knowledge Information Technology and Systems 13.4 pp.411-419 (2018) : 411.
Kim Chul Jin, Kim JiSeong. A Study of Heart Disease Prediction Using Multilayer Perceptron based on Deep Learning. 2018; 13(4), 411-419. Available from: doi:10.34163/jkits.2018.13.4.001
Kim Chul Jin and Kim JiSeong. "A Study of Heart Disease Prediction Using Multilayer Perceptron based on Deep Learning" Journal of Knowledge Information Technology and Systems 13, no.4 (2018) : 411-419.doi: 10.34163/jkits.2018.13.4.001
Kim Chul Jin; Kim JiSeong. A Study of Heart Disease Prediction Using Multilayer Perceptron based on Deep Learning. Journal of Knowledge Information Technology and Systems, 13(4), 411-419. doi: 10.34163/jkits.2018.13.4.001
Kim Chul Jin; Kim JiSeong. A Study of Heart Disease Prediction Using Multilayer Perceptron based on Deep Learning. Journal of Knowledge Information Technology and Systems. 2018; 13(4) 411-419. doi: 10.34163/jkits.2018.13.4.001
Kim Chul Jin, Kim JiSeong. A Study of Heart Disease Prediction Using Multilayer Perceptron based on Deep Learning. 2018; 13(4), 411-419. Available from: doi:10.34163/jkits.2018.13.4.001
Kim Chul Jin and Kim JiSeong. "A Study of Heart Disease Prediction Using Multilayer Perceptron based on Deep Learning" Journal of Knowledge Information Technology and Systems 13, no.4 (2018) : 411-419.doi: 10.34163/jkits.2018.13.4.001
