Published September 30, 2023 | Version CC BY-NC-ND 4.0
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Eye Disease Prediction Among Corporate Employees using Machine Learning Techniques

Creators

  • 1. Professor, Department of Computer Applications, Kongu Engineering College, Perundurai-638060, (Tamilnadu), India.
  • 2. PG Final Year, Department of Computer Applications, Kongu Engineering College, Perundurai-638060, (Tamilnadu), India.
  • 3. R. Dharani, PG Final Year, Department of Computer Applications, Kongu Engineering College, Perundurai-638060, (Tamilnadu), India.

Contributors

Contact person:

  • 1. Professor, Department of Computer Applications, Kongu Engineering College, Perundurai-638060, (Tamilnadu), India

Description

In the IT sector, employees use systems for more than 6 hs, so they are affected by many health problems. Mostly In the IT sector, employees are affected with eye diseases like eye strain, eye pain, burning sensation, double vision, blurring of vision, and frequent watering. The major goal of this research is to identify the different types of eye problems encountered, the symptoms present, and the population afflicted by eye diseases in order to accurately forecast outcomes using a Machine learning techniques for real-time data sets.

Notes

Additional Notes: Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) © Copyright: All rights reserved.

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Journal article: 10.35940/ijese.C7895.09111023 (DOI)

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Subjects

ISSN: 2319–6378 (Online)
https://portal.issn.org/resource/ISSN/2319-6378#
Retrieval Number: 100.1/ijese.C78950912323
https://www.ijese.org/portfolio-item/C78950912323/
Journal Website: www.ijese.org
https://www.ijese.org/
Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
https://www.blueeyesintelligence.org/