Innovating in the Detection of Depression in Young Adults: Development of a Mobile Application Based on the Enhanced Cascade Model

Authors

  • Miguel Ángel Ruiz Jaimes Universidad Politécncia del Estado de Morelos
  • Maria Arely Gabriel Romero Universidad Politécnica del Estado de Morelos
  • Rodrigo Alejandro Morales López Universidad Politécnica del Estado de Morelos
  • Yadira Toledo-Navarro Universidad Politécnica del Estado de Morelos
  • Jorge A. Ruiz-Vanoye Universidad Politécnica de Pachuca
  • Ocotlan Díaz-Parra Universidad Politécnica de Pachuca
  • Jaime Aguilar Ortiz Universidad Politécnica de Pachuca

DOI:

https://doi.org/10.61467/2007.1558.2024.v15i1.394

Keywords:

Depression, Young Adults

Abstract

Depression is a disorder that usually begins in early adulthood, having a duration according to the World Health Organization (WHO) from a couple of months to a couple of years, however, in approximately 20% of cases there is a chronic evolution that results in a high mortality rate by suicide due to lack of adequate treatment. Therefore, the objective of this project is to facilitate the tools for an adequate care of depression, mainly in young adults through the development of a mobile application that monitors patients.  To carry out the project, the enhanced cascade model was implemented, because the feedback between the different phases of the system development life cycle is important to make the appropriate modifications. The application of interviews and the use of brainstorming were the selected way in which all the system requirements were designed and the goals to be met by the system were adequately defined.

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Published

2024-05-24

How to Cite

Ruiz Jaimes, M. Ángel, Gabriel Romero, M. A., Morales López, R. A., Toledo-Navarro, Y., Ruiz-Vanoye , J. A., Díaz-Parra, O., & Aguilar Ortiz , J. (2024). Innovating in the Detection of Depression in Young Adults: Development of a Mobile Application Based on the Enhanced Cascade Model. International Journal of Combinatorial Optimization Problems and Informatics, 15(1), 86–100. https://doi.org/10.61467/2007.1558.2024.v15i1.394

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