创新检测青少年抑郁症:基于增强级联模型开发移动应用程序

IF 0.3 Q4 MATHEMATICS, APPLIED
Miguel Ángel Ruiz Jaimes, Maria Arely Gabriel Romero, Rodrigo Alejandro Morales López, Yadira Toledo-Navarro, J. Ruiz-Vanoye, O. Díaz-Parra, Jaime Aguilar Ortiz
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引用次数: 0

摘要

抑郁症是一种通常始于成年早期的疾病,根据世界卫生组织(WHO)的数据,其持续时间从几个月到几年不等,然而,在大约 20% 的病例中,由于缺乏适当的治疗,抑郁症会长期演变,导致自杀死亡率居高不下。因此,该项目的目标是通过开发一款监测患者的移动应用程序,为充分治疗抑郁症(主要是青壮年抑郁症)提供便利。 为了实施该项目,我们采用了增强级联模型,因为系统开发生命周期不同阶段之间的反馈对于做出适当的修改非常重要。采用访谈和头脑风暴的方式设计了所有的系统需求,并充分确定了系统要达到的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Innovating in the Detection of Depression in Young Adults: Development of a Mobile Application Based on the Enhanced Cascade Model
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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