Applied and Computational Engineering
- The Open Access Proceedings Series for Conferences
Proceedings of the 4th International Conference on Computing and Data Science (CONF-CDS 2022)
Series Vol. 2 , 22 March 2023
Open
Access | Article
Predicting Heart Disease Based on Wide and Deep Neural Network
* Author to whom correspondence should be addressed.
Abstract
Nowadays, more and more people suffer from heart disease because of stressful life, irregular diet, lack of exercise and other reasons. The population affected by heart disease is also younger than ever. If heart disease can be diagnosed as early as possible, it will be of great help in the treatment of heart disease. Thus, this paper proposes models to predict heart disease based on wide and deep neural network, and the result shows that the current work has maintain good performance. Analysis is also provided in this paper to state factors that can affect performance.
Keywords
Heart disease, deep neural network., wide and deep neural network, crossed feature
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 4th International Conference on Computing and Data Science (CONF-CDS 2022)
- ISBN (Print)
- 978-1-915371-19-5
- ISBN (Online)
- 978-1-915371-20-1
- Published Date
- 22 March 2023
- Series
- Applied and Computational Engineering
- ISSN (Print)
- 2755-2721
- ISSN (Online)
- 2755-273X
- DOI
- 10.54254/2755-2721/2/20220665
- Copyright
- 22 March 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited