Detection of Significant Risk Factors of Heart Diseases by Educing Multimodal Features and Implementing Machine Learning Techniques

Authors

  • Kanyifeechukwu Jane Oguine  Department of Computer Science, University of Abuja, Abuja, Nigeria
  • Ozioma Collins Oguine  Department of Computer Science, University of Abuja, Abuja, Nigeria
  • Chito Frances Ofodum  College of Medicine, University of Lagos, Lagos, Nigeria

DOI:

https://doi.org/10.32628/CSEIT2174131

Keywords:

Heart Diseases Detection, Machine Learning, Multimodal Features, Logistic Regression, Naïve Bayes, Random Forest.

Abstract

One of the major reasons for deaths worldwide is heart diseases and possible detection at an earlier stage will prevent these attacks. Medical practitioners generate data with a wealth of concealed information present, and it’s not used effectively for predictions. For this reason, the research will convert the unused data into a dataset for shaping using different data mining techniques. People die having encountered symptoms that were not taken into considerations. The main objective of this paper is to analyze the most significant risk factors of Heart Diseases of patients by extracting multimodal features and predicting the occurrence of heart diseases using different classification techniques comparatively. This study will help improve the decision-making of medical professionals on the occurrence of heart diseases patients in a bid to enhance early detection by implementing comparatively several machine learning techniques resulting in an improved prediction accuracy using patient records (Multimodal Features).

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-08-30

Issue

Volume 7, Issue 4, July-August-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Kanyifeechukwu Jane Oguine, Ozioma Collins Oguine, Chito Frances Ofodum, " Detection of Significant Risk Factors of Heart Diseases by Educing Multimodal Features and Implementing Machine Learning Techniques" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 4, pp.621-630, July-August-2021. Available at doi : https://doi.org/10.32628/CSEIT2174131