Deep Neural Network for Heart Disease Medical Prescription Expert System

Majzoob K. Omer, Osama E. Sheta, Mohamed S. Adrees, Deris Stiawan, Munawar A Riyadi, Rahmat Budiarto


One of the most common disease causes of death in the world is Ischaemic heart disease (IHD). Therefore, the development of an expert system for the diagnostic and therapeutic decision model of IHD creates a universal need. Clinical decisions are often made based on doctors’ intuition and experience rather than on the knowledge-rich data hidden in the database. This practice leads to unwanted biases, errors and excessive medical costs which affects the quality of service provided to patients. This paper attempts to increase the accuracy and the effectiveness of an expert system to treat IHD patient by leveraging deep neural networks. Experimental results shows promising improvement in term of accuracy. Some results are consulted to the cardiologist to confirm the results.


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Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
ISSN 2089-3272

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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