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Research Article | Open Access |

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) · Vol. 13, No. 8 · Published 2022

DOI: https://doi.org/10.14569/IJACSA.2022.0130890

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

How to Cite this Article

Canari, D. C. C., Obispo, A. V. G., Salazar, J. L. H., Andrade-Arenas, L., & Cabanillas-Carbonell, M. (2022). Mobile App Design: Logging and Diagnostics of Respiratory Diseases. International Journal of Advanced Computer Science and Applications, 13(8). https://doi.org/10.14569/IJACSA.2022.0130890

Canari, Diana Cecilia Chavez, et al.. "Mobile App Design: Logging and Diagnostics of Respiratory Diseases." International Journal of Advanced Computer Science and Applications, vol. 13, no. 8, 2022, https://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},
  volume    = {13},
  number    = {8},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Diana Cecilia Chavez Canari and Angel Vicente Garcia Obispo and Jose Luis Herrera Salazar and Laberiano Andrade-Arenas and Michael Cabanillas-Carbonell},
  doi       = {10.14569/IJACSA.2022.0130890},
  url       = {https://doi.org/10.14569/IJACSA.2022.0130890}
}

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