Eye Disease Prediction Among Corporate Employees using Machine Learning Techniques
A. Tamilarasi1, T. Jawahar Karthick2, R. Dharani3, S. Jeevitha4
1Dr. A. Tamilarasi, Professor, Department of Computer Applications, Kongu Engineering College, Perundurai-638060, (Tamilnadu), India.
2T. Jawahar Karthick, PG Final Year, Department of Computer Applications, Kongu Engineering College, Perundurai-638060, (Tamilnadu), India.
3R. Dharani, PG Final Year, Department of Computer Applications, Kongu Engineering College, Perundurai-638060, (Tamilnadu), India.
4S. Jeevitha, PG Final Year, Department of Computer Applications, Kongu Engineering College, Perundurai-638060, (Tamilnadu), India.
Manuscript received on 11 August 2023 | Revised Manuscript received on 13 September 2023 | Manuscript Accepted on 15 September 2023 | Manuscript published on 30 September 2023 | PP: 1-5 | Volume-11 Issue-10, September 2023 | Retrieval Number: 100.1/ijese.C78950912323 | DOI: 10.35940/ijese.C7895.09111023
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Abstract: 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.
Keywords: Machine Learning Techniques
Scope of the Article: Machine Learning