A Study on Refractive Error in Patients of Chennai City in India during Covid 19 Pandemic Period

Objectives: To compare the results of techniques Decision Tree, Discriminant, KNN, SVM applied to pre Covid-19 data collected in 2018 and during pandemic period (2020) patients Chennai city. Methods: The variables are Refractive Error both left right eye, Age, Gender, Educational Status, Employment Nature Job, Working Hours, with Computer, Watching TV, Sleeping Type Food, Extra Activity, Light Residence, Work Place, Family Members Wearing Specs, Parents Other Disease eye disease. Findings: In this study, 22 classification algorithms were data, accuracy as well comparisons two distinct sample sizes obtained. Although adhering strict lockdown regulations helps prevent spread COVID-19, it also negatively affects visual health those who confined their homes have limited access outdoor activities, leading an excessive confidence on digital screens for studies or leisure. Novelty: Due public restrictions, present Covid 19 has altered people’s social lives all around world. As a result, kids spent more time front computer television monitor screens, which is bad eyes. error significant number Chennai. Across kinds refractive defects, myopia, hyperopia, astigmatism, presbyopia constitute most prevalent. Keywords: Covid19; error; KNN; SVM; Tree; Discriminant