Machine Learning Based Heart Disease Prediction System

Authors

  • Dr. Loganathan R  Department of Computer Science Engineering, HKBK College of Engineering, Bengaluru, Karnataka, India
  • Syed Farooq  Department of Computer Science Engineering, HKBK College of Engineering, Bengaluru, Karnataka, India
  • Sayeeda Arshiya  Department of Computer Science Engineering, HKBK College of Engineering, Bengaluru, Karnataka, India
  • Supreksha Karki  Department of Computer Science Engineering, HKBK College of Engineering, Bengaluru, Karnataka, India
  • Syed Sohail  Department of Computer Science Engineering, HKBK College of Engineering, Bengaluru, Karnataka, India

DOI:

https://doi.org/10.32628/IJSRSET218543

Keywords:

Machine Learning , Random, Forest Algorithm, Logistic Regression, CSV : Comma- Separated Values

Abstract

The primary goal of this thesis is to simulate the causes of human face ageing and to detect skin illnesses. This project combines the capabilities of a Deep Learning model, notably EfficientDet, with the capabilities of a machine learning model and Advanced Computer Vision to identify and locate aging and skin disease. In an uploaded photo there are irregularities which can be detected. The appearance of age-related face changes is determined by a variety of factors. Wrinkles, dark patches, and swollen eyes are all variables to consider. The TensorFlow Objection Detection API is used to investigate the factors. TensorFlow Zoo's EfficientDet model is pre-trained. The proposed models are found to be effective based on the outcomes. Very effective in predicting the indications of ageing in people of all ages. Python was used to implement this project.

References

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  4. A. Gavhane, G. Kokkula, I. Pandya and K. Devadkar, "Prediction of Heart Disease Using Machine Learning," 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2018, pp. 1275-1278, doi: 10.1109/ICECA.2018.8474922.
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  6. C. -H. Lin, P. -K. Yang, Y. -C. Lin and P. -K. Fu, "On Machine Learning Models for Heart Disease Diagnosis," 2020 IEEE 2nd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS),2020, pp.158-161,doi:10.1109/ECBIOS502 99.2020.9203614.

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Published

2022-02-28

Issue

Section

Research Articles

How to Cite

[1]
Dr. Loganathan R, Syed Farooq, Sayeeda Arshiya, Supreksha Karki, Syed Sohail "Machine Learning Based Heart Disease Prediction System" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 1, pp.202-206, January-February-2022. Available at doi : https://doi.org/10.32628/IJSRSET218543