Predicting the Actual Usage of Online Health Care Service among Rural Citizens through E-Governance Initiatives during COVID-19 Using Machine Learning

ABSTRACT

In various countries across the globe, communication between the citizens and the government takes place through online mode which helps them to reach extensively. These innovative initiatives in technologies have restructured the lifestyle of the citizens residing in our country. The Indian government has revamped its process through outstanding digital transformation in facilitating its services in many fields like insurance, banking, education, and health care services for the citizens. The phrase e-governance has been introduced in the 17th century to concentrate on structuring the applications for facilitating services to the citizens. The deadly virus of COVID-19 has been spread all over the countries in December 2019 in Wuhan city, China. The whole world has been drastically affected and the Indian government has taken several initiatives and precautionary measures to safeguard the life of the people. Various health care applications have been developed to facilitate teleconsultation services to the people, especially in remote villages, since in developing countries like India 70 percentage of the entire population are occupied by the rural areas. The government authorities, officials, and health care workers have faced various obstacles to create knowledge and awareness about this deadly virus of COVID-19 among rural citizens. The government officials have instructed the rural citizens to maintain social distancing, use hand sanitizers, and access teleconsultation services to meet their immediate health requirements. Hence the present study has found out the recurrence of usage of e-governance health care applications among the citizens in rural areas and predicted that the exact requirement of the citizens in rural areas for effectively using the e-governance applications for health through machine learning technique in r studio.