Eye Disease Prediction Among Corporate Employees using Machine Learning Techniques

Dr. A. Tamilarasi, T. Jawahar Karthick, None R. Dharani, None S. Jeevitha
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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.
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利用机器学习技术预测企业员工眼病
在IT部门,员工使用系统的时间超过6个小时,因此他们受到许多健康问题的影响。大多数IT行业的员工都受到眼部疾病的影响,如眼睛疲劳、眼睛疼痛、灼烧感、复视、视力模糊和频繁流泪。本研究的主要目标是确定遇到的不同类型的眼病,存在的症状以及受眼病影响的人群,以便使用实时数据集的机器学习技术准确预测结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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