Classification of Online Pharmacy Buyers on Their Covid-19 Experiences Using Neural Network Approach

Abstract

The COVID-19 epidemic has accelerated the widespread adoption of online pharmacies in India, owing to their convenience and contactless delivery in the face of societal prohibitions. This study investigates how buyers' views of online pharmacy advantages, dangers, convenience of use, contentment, and frequency of usage during COVID-19 might place them in high or low experience categories. A questionnaire-based study was conducted in Northeast India and Sikkim to collect information about these parameters and COVID-19 experiences. Using a multi-layer perceptron neural network, the study discovered that 72.5% of purchasers could be identified correctly based on their beliefs. Despite legal and safety concerns, the findings show that COVID-19 had a considerable influence on raising knowledge and satisfaction with online pharmacies. This study emphasises the changing significance of digital healthcare technology, as well as the importance of informed policy and public education in ensuring safe online pharmaceutical purchase habits.