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Natural Language Processing and Cloud Computing in Disease Prevention and Management
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Author(s): Ricardo Ferreira (Instituto Superior de Engenharia do Porto, Portugal), Pedro Gregório (Instituto Superior de Engenharia do Porto, Portugal), Luis Coelho (Instituto Superior de Engenharia do Porto, Portugal)and Sara Seabra Reis (Instituto Superior de Engenharia do Porto, Portugal)
Copyright: 2023
Pages: 24
Source title:
Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare
Source Author(s)/Editor(s): Ricardo Queirós (ESMAD, Polytechnic Institute of Porto, Portugal), Bruno Cunha (PORTIC, Polytechnic Institute of Porto, Portugal)and Xavier Fonseca (PORTIC, Polytechnic Institute of Porto, Portugal)
DOI: 10.4018/978-1-6684-5260-8.ch010
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Abstract
Recent studies show the high prevalence of the use of messaging platform and its growth trend, especially in younger populations (Figueroa Jacinto and Arndt 2018). Messaging apps are used not only to communicate and stay in touch with family and friends, but also to access services. Interactions with commercial purposes, such as making purchases, seeking out assistance and customer support, providing feedback or making reservations are already widely used, but legal and healthcare related areas also present prominent growth (Eeuwen 2017). In this chapter it is our objective to explore how technologies such as natural language processing, speech recognition, text-to-speech, machine learning, and cloud computing can be integrated to develop high quality chatbots for healthcare purposes. Additionally, we will cover an application case based on COVID-19 prevention and management.
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