A Model-View-ViewModel (MVVM) Application Framework for Hearing Impairment Diagnosis - Class Inheritance Architecture

Waseem Sheikh, Nadeem Sheikh
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引用次数: 1

Abstract

Around 466 million people worldwide (over 5% of the world's population) have disabling hearing loss, and out of these 34 million are children. Estimates suggest that by 2050, over 900 million people worldwide will have disabling hearing loss. The annual global cost of unaddressed hearing loss amounts to US$ 750 billion. Early detection of hearing loss can reduce its impact on an individual's life in addition to saving a huge cost. This paper, the last one in a series of three papers, presents the class inheritance architecture of an open-source application framework for hearing impairment diagnosis. The framework is built using the Model-View-ViewModel (MVVM) pattern which separates the development of graphical user interface (GUI) from the development of business and back-end logic. Some of the benefits of the MVVM pattern include reusable components, independent development of GUI and business or back-end logic, flexibility to modify GUI without having to change business or back-end logic, ease of unit testing, and reduced maintenance overhead. The proposed framework along with the open-source code makes it possible to easily extend the application functionality thus enabling other researchers and practitioners to develop their own versions of hearing loss diagnosis applications. The proposed software was evaluated by an otolaryngologist and found to be very beneficial in assisting a clinician to reach a hearing impairment diagnosis conclusion more methodically, swiftly and accurately.
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一种模型-视图-视图模型(MVVM)听力损伤诊断应用框架-类继承体系结构
全世界约有4.66亿人(占世界人口的5%以上)患有致残性听力损失,其中3400万人是儿童。据估计,到2050年,全世界将有9亿多人患有致残性听力损失。未得到解决的听力损失每年在全球造成的损失达7500亿美元。早期发现听力损失可以减少它对个人生活的影响,还可以节省一大笔费用。本文是三篇系列论文的最后一篇,介绍了一个开源听力障碍诊断应用框架的类继承架构。该框架使用模型-视图-视图模型(Model-View-ViewModel, MVVM)模式构建,该模式将图形用户界面(GUI)的开发与业务和后端逻辑的开发分开。MVVM模式的一些优点包括可重用组件、GUI和业务或后端逻辑的独立开发、无需更改业务或后端逻辑即可修改GUI的灵活性、单元测试的便利性以及减少维护开销。所提出的框架以及开源代码使得很容易扩展应用程序功能成为可能,从而使其他研究人员和从业者能够开发他们自己版本的听力损失诊断应用程序。耳鼻喉科医生对该软件进行了评估,发现该软件在帮助临床医生更系统、快速、准确地得出听力障碍诊断结论方面非常有益。
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