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
{"title":"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","authors":"Miguel Ángel Ruiz Jaimes, Maria Arely Gabriel Romero, Rodrigo Alejandro Morales López, Yadira Toledo-Navarro, J. Ruiz-Vanoye, O. Díaz-Parra, Jaime Aguilar Ortiz","doi":"10.61467/2007.1558.2024.v15i1.394","DOIUrl":null,"url":null,"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.","PeriodicalId":42388,"journal":{"name":"International Journal of Combinatorial Optimization Problems and Informatics","volume":"1 11","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"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, Maria Arely Gabriel Romero, Rodrigo Alejandro Morales López, Yadira Toledo-Navarro, J. Ruiz-Vanoye, O. Díaz-Parra, Jaime Aguilar Ortiz\",\"doi\":\"10.61467/2007.1558.2024.v15i1.394\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":42388,\"journal\":{\"name\":\"International Journal of Combinatorial Optimization Problems and Informatics\",\"volume\":\"1 11\",\"pages\":\"\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2024-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Combinatorial Optimization Problems and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.61467/2007.1558.2024.v15i1.394\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Combinatorial Optimization Problems and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.61467/2007.1558.2024.v15i1.394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
22
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信