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Vieira, A., Elvas, L. B., Ferreira, J., Cascalho, M., Raposo, A., Dias, J....Silva, H. (2023). AI-based mHealth App for Covid-19 or cardiac diseases diagnosis and prognosis. In Ajith Abraham, Anu Bajaj, Niketa Gandhi, Ana Maria Madureira, Cengiz Kahraman (Ed.), Proceedings of the 13th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2022). (pp. 765-777).: Springer, Cham.

A. Vieira et al.,  "AI-based mHealth App for Covid-19 or cardiac diseases diagnosis and prognosis", in Proc. of the 13th Int. Conf. on Innovations in Bio-Inspired Computing and Applications (IBICA 2022), Ajith Abraham, Anu Bajaj, Niketa Gandhi, Ana Maria Madureira, Cengiz Kahraman, Ed., Springer, Cham, 2023, vol. 649, pp. 765-777

@inproceedings{vieira2023_1783874109754,
	author = "Vieira, A. and Elvas, L. B. and Ferreira, J. and Cascalho, M. and Raposo, A. and Dias, J. and Luís Brás Rosário and Silva, H.",
	title = "AI-based mHealth App for Covid-19 or cardiac diseases diagnosis and prognosis",
	booktitle = "Proceedings of the 13th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2022)",
	year = "2023",
	editor = "Ajith Abraham, Anu Bajaj, Niketa Gandhi, Ana Maria Madureira, Cengiz Kahraman",
	volume = "649",
	number = "",
	series = "",
	doi = "10.1007/978-3-031-27499-2_71",
	pages = "765-777",
	publisher = "Springer, Cham",
	address = "",
	organization = "",
	url = "https://link.springer.com/chapter/10.1007/978-3-031-27499-2_71"
}

TY  - CPAPER
TI  - AI-based mHealth App for Covid-19 or cardiac diseases diagnosis and prognosis
T2  - Proceedings of the 13th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2022)
VL  - 649
AU  - Vieira, A.
AU  - Elvas, L. B.
AU  - Ferreira, J.
AU  - Cascalho, M.
AU  - Raposo, A.
AU  - Dias, J.
AU  - Luís Brás Rosário
AU  - Silva, H.
PY  - 2023
SP  - 765-777
DO  - 10.1007/978-3-031-27499-2_71
UR  - https://link.springer.com/chapter/10.1007/978-3-031-27499-2_71
AB  - Covid-19 has rapidly spread and affected millions of people worldwide. For that reason, the public healthcare system was overwhelmed and underprepared to deal with this pandemic. Covid-19 also interfered with the delivery of standard medical care, causing patients with chronic diseases to receive subpar care. As chronic heart failure becomes more common, new management strategies need to be developed. Mobile health technology can be utilized to monitor patients with chronic conditions, such as chronic heart failure, and detect early signs of Covid-19, for diagnosis and prognosis. Recent breakthroughs in Artificial Intelligence and Machine Learning have increased the capacity of data analytics, which may now be utilized to remotely conduct a variety of tasks that previously required the physical presence of a medical professional. In this work, we analyze the literature in this domain and propose an AI-based mHealth application designed to collect clinical data and provide diagnosis and prognosis of diseases such as Covid-19 or chronic cardiac diseases.
ER  -