Education and Analysis of Autistic Patients Using Machine Learning

P. Sinha, Radhika Singh, Rahul Roy, Puneeta Singh
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引用次数: 1

Abstract

“Autism is a neurological condition that decapitates patient of development in language and communication skills restraining him/her from any social interaction and develops rigid, ardent behavior.” To overcome this problem we have come up with an educational app that helps people to get educated via friendly UI while under surveillance of personal or assigned therapist. Features include fast and effective teaching in vocabulary, therapist can personalize their education methods to make model effective, analysis system that will track every move of patient and utilize local medical AI records to report patient's metric progress and pattern of impairment triggers. Audio to Visual and vice-versa. Pronounce words and check whether input correct or not. The app is open source mainly to educate the people who are suffering from autism. It will benefit patient to gain knowledge of communication. Also, they would get something that will accompany them all time, so that they won't feel lonely also ensuring anxiety risk in case of physical therapy methods. Requirements of the application is implemented by using Java Struts, JDBC, XHTML, CSS, JavaScript, and DOM.
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使用机器学习对自闭症患者进行教育和分析
“自闭症是一种神经系统疾病,它使患者丧失语言和沟通技能的发展,限制他/她进行任何社会交往,并发展出僵化、热情的行为。”为了克服这个问题,我们想出了一个教育应用程序,帮助人们在个人或指定治疗师的监督下,通过友好的UI接受教育。其特点包括快速有效的词汇教学,治疗师可以个性化他们的教育方法,使模型有效,分析系统将跟踪患者的一举一动,并利用当地的医疗人工智能记录来报告患者的度量进度和损伤触发模式。音频到视觉,反之亦然。发音单词,检查输入是否正确。这款应用程序是开源的,主要是为了教育自闭症患者。获得沟通的知识对病人是有益的。此外,他们会得到一些陪伴他们的东西,这样他们就不会感到孤独,也确保了在物理治疗方法下的焦虑风险。应用程序的需求是通过使用Java Struts、JDBC、XHTML、CSS、JavaScript和DOM实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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