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DOI: 10.14569/IJACSA.2022.0130890
PDF

Mobile App Design: Logging and Diagnostics of Respiratory Diseases

Author 1: Diana Cecilia Chavez Canari
Author 2: Angel Vicente Garcia Obispo
Author 3: Jose Luis Herrera Salazar
Author 4: Laberiano Andrade-Arenas
Author 5: Michael Cabanillas-Carbonell

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 8, 2022.

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Abstract: Over the years, a wide variety of respiratory diseases have caused a high mortality rate throughout the world. This was again observed with the appearance of the pandemic, COVID-19. In addition, the most affected are people living in extreme poverty. The objective is design a mobile health application for the registration and diagnosis of respiratory diseases. For this, the RUP methodology was applied, because it easily adapts to various types of projects. Its use, together with the UML process development software, allows the analysis, implementation and documentation of object oriented systems. For validation, a user survey was carried out and the questionnaire was based on the dimensions of functionality, efficiency, effectiveness and satisfaction. Obtaining as a result a positive qualification to the design of the application and its acceptance due to the reduction in the time to obtain the diagnosis. In conclusion, a mobile health application design was successfully carried out so that patients can register and have the diagnosis of respiratory diseases from the comfort of their home.

Keywords: Mobile app; Covid-19; diagnosis; respiratory diseases; RUP methodology

Diana Cecilia Chavez Canari, Angel Vicente Garcia Obispo, Jose Luis Herrera Salazar, Laberiano Andrade-Arenas and Michael Cabanillas-Carbonell, “Mobile App Design: Logging and Diagnostics of Respiratory Diseases” International Journal of Advanced Computer Science and Applications(IJACSA), 13(8), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130890

@article{Canari2022,
title = {Mobile App Design: Logging and Diagnostics of Respiratory Diseases},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130890},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130890},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {8},
author = {Diana Cecilia Chavez Canari and Angel Vicente Garcia Obispo and Jose Luis Herrera Salazar and Laberiano Andrade-Arenas and Michael Cabanillas-Carbonell}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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