Published Paper Details:

Abstract- It is evolving healthcare systems from conventional to more personalized healthcare systems through which patients can be diagnosed, treated, and monitored more easily. The current global challenge of the pandemic caused by the novel severe respiratory syndrome corona virus 2 presents the greatest global public health crisis since the pandemic influenza outbreak of 1918. Our goal in this study is to determine the role of IoT-based machine learning technologies in COVID-19 tracking and control and review the state-of-the-art architectures, platforms, applications. As the entire world continues fighting the same enemy, consumers and organizations are embracing new technologies and discovering their perks. IoT sensor technologies have played a major role. One of the best Machine Learning for Healthcare applications is a internet bot system that makes the treatment period much easier. A virtual nurse for patients acts as a voice-controlled healthcare assistant that provides information on many illnesses, health disorders, and medicines. An AI assistant is a very handy thing if the patient needs real-time advice and it might be difficult for him or her to get to the doctor. Data engineers are working on solutions for all medical activities that deal with overall health monitoring as well as helping cure or even prevent disease.