What is Mobile App Development

Effective screening of COVID-19 enables quick and efficient diagnostic tests and further mitigates the burden on public healthcare systems. Existing smart tools in COVID-19 self-assessment can be applied as the potential solution through analyzing users' responses from either answering several questions about typical symptoms or distinguishing differences of voice patterns between healthy and infected individuals. However, such applications cannot provide a comprehensive understanding of COVID-19 identification from different angles. In this chapter, a smart app framework of the multi-angel self-assessment for COVID-19 is proposed and examined in terms of its feasibility and efficiency using a variety of cutting-edge technologies, including machine learning, unsupervised text clustering, and deep learning. The app consists of three major components that learn users' responses through symptoms, messages, and voices. Experimental results are investigated with data collected from the real world, indicating the app can identify COVID-19 cases efficiently.