ABSTRACT
Prospective research in Artificial Intelligence (AI) in various domains has changed engineering around the world. It is difficult to build clinical decision models due to lack of large datasets. Knowledge engineering with AI techniques provides a solution to health services by improvising the safety and quality at low cost. Combining the power of machine learning and deep learning offers a strong base for clinical decision support system. With increasing number of patients worldwide, there is a severe setback in healthcare system to fight against control of COVID-19, a pandemic and a threat to lives of human beings. The whole world is looking for a novel technology to fight against this pandemic. This research focuses on use of various AI technologies to analyze and predict COVID-19 patients by collecting real-time data from various age groups, gender, and health conditions. Hence, in this chapter, in application of AI concepts to predict the future health predictions of COVID- 19-recovered patients, use of data science to obtain statistics of COVID-19, and to provide a personalized care for each and every COVID-19 patient, knowledge engineering concepts are applied. Also, this chapter focuses on possible health issues met by COVID-19-improved patients. By collecting real-time data through social media, in person and surveys, data is analyzed and implemented to predict future health issues that may be confronted by the COVID-19-recovered patients. Existing machine learning and statistical analysis methods are applied to predict future health problems that a COVID-19 patient. Results obtained are promising with real-time statistics of COVID-19-recovered patients. © 2022 Scrivener Publishing LLC.