Covid-19 and Test Management

Abstract

This study describes how the expected number of COVID-19 patients can be predicted with the help of Machine learning. In this study, four conventional forecasting models were used to predict COVID-19's negative aspects: Support vector machines, the least absolute shrinkage and selection operator (LASSO), and exponential smoothing are all examples of linear regression (LR).Our primary goal is to make it possible for this application to be used in the majority of retail COVID-19 labs. During the implementation period, each COVID-19 lab will need to make a few minor adjustments. Previously handled locally and manually, this system is designed to overcome all diagnostic management challenges. We will be able to keep track of all transactions made during the daily tests with the help of this system; acknowledge each customer, worker, etc. Because all transactions are recorded in the system, it will oversee all activities in and around the COVID-19 lab, maximizing productivity and profit while minimizing loss.