IoT based Heart Disease Prediction using Higher Order Boltzmann Deep Belief Neural Network
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064


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Research Paper | Computer Science | India | Volume 9 Issue 10, October 2020

IoT based Heart Disease Prediction using Higher Order Boltzmann Deep Belief Neural Network

Shabeena T

Heart disease is considered as one of the major causes of death throughout the world. Heart problems cannot be easily predicted by the medical practitioners as it is a difficult task which demands expertise and higher knowledge for prediction.Several data mining techniques and artificial intelligence techniques are applied for heart disease prediction.But existing automatic systems for heart disease diagnosis are hampered by the need of big data. Therefore, here introduces an Internet of Things-based medical device for collecting heart details of patients and processed using Higher Order Boltzmann Deep Belief Neural Network (HOBDBNN).

Keywords: Cardio Vascular Diseases, Data mining, Machine Learning, Deep Learning, Higher Order Boltzmann Deep Belief, Neural Network

Edition: Volume 9 Issue 10, October 2020

Pages: 44 - 48

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How to Cite this Article?

Shabeena T, "IoT based Heart Disease Prediction using Higher Order Boltzmann Deep Belief Neural Network", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SR20831111725, Volume 9 Issue 10, October 2020, 44 - 48

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