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Eye Disease Prediction Among Corporate Employees using Machine Learning Techniques

descriptionPublicationkeyboard_double_arrow_right Article 30 Sep 2023Publisher:Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESPJournal:International Journal of Emerging Science and Engineering, volume 11, pages 1-5 (eissn: 2319-6378,

Authors: Dr. A. Tamilarasi; T. Jawahar Karthick; R. Dharani; S. Jeevitha;

doi: 10.35940/ijese.c7895.09111023

Eye Disease Prediction Among Corporate Employees using Machine Learning Techniques

- Summary
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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

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	4
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average