Linear Regression Based Machine Learning Model for Cataract Disease Prediction

Authors

  • B. Premalatha Coimbatore Institute of Technology
  • Chandrasekharan Nataraj Asia Pacific University of Technology & Innovation image/svg+xml

DOI:

https://doi.org/10.4108/eetpht.10.6422

Keywords:

Machine Learning Model, Linear Regression, Image processing, Feature Extraction, Cataract disease prediction

Abstract

Blindness and visual impairment have become major health problems today, with one major source of impairment being the formation of cataract disease. Cataract disease affects around 20 million individuals worldwide, with three out of every four being above the age of 60. A cataract is a clouding of the lens that impairs vision and can lead to blindness. Accurate and convenient detection of cataracts is essential for improving this condition. This paper presents a model based on linear regression to predict the presence of cataracts from images of the human eye. Experiments were conducted to validate the model. Various image processing techniques have also been used to perform image preprocessing and contrast enhancement, with patients notified about their eye health via SMS.

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References

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Published

24-06-2024

How to Cite

1.
Premalatha B, Nataraj C. Linear Regression Based Machine Learning Model for Cataract Disease Prediction. EAI Endorsed Trans Perv Health Tech [Internet]. 2024 Jun. 24 [cited 2024 Jul. 13];10. Available from: https://publications.eai.eu/index.php/phat/article/view/6422