A Decision Support System Using Rule-Based Expert System for COVID-19 Prediction and Diagnosis

Recently, the pandemic COrona VIrus Disease (COVID-19) has shown exponential growth in almost all part of the world. It has resulted more than 2 crores infection cases and nearly 7 lakhs death cases worldwide till date and the count is still increasing. Due to lock down, scarcity of medical experts and other constraints, this emerging health crisis requires a systematic and reliable Decision Support System (DSS) at the user level which will help in quick prediction and diagnosis by common healthcare workers without consulting medical expert. Expert system, a field of Artificial Intelligence (AI), has been playing a vital role in developing such systems. In this chapter, a brief outline is presented on fundamentals and generic design issues of expert system. The different AI approaches are surveyed in healthcare field for different diseases. An expert system, ESCOVID, is proposed with a set of 43 rules. The implementation of ESCOVID is done in ES-builder and validated by testing all possible inference paths.