In this modern world, people are becoming more self-centered and unsocial. On the other hand, people are stressed, becoming more anxious during COVID-19 pandemic situation and exhibits symptoms of behavioral disorder. To measure the symptoms of behavioral disorder, usually psychiatrist use long hour sessions and inputs from specific questionnaire. This process is time consuming and sometime is ineffective to detect the right behavioral disorder. Also, reserved people sometime hesitate to follow this process. We have created a digital framework which can detect behavioral disorder and prescribe virtual Cognitive Behavioral Therapy (vCBT) for recovery. By using this framework people can input required data that are highly responsible for the three behavioral disorders namely depression, anxiety and internet addiction. We have applied machine learning technique to detect specific behavioral disorder from samples. This system guides the user with basic understanding and treatment through vCBT from anywhere any time which would potentially be the steppingstone for the user to be conscious and pursue right treatment.
翻译:在这个现代世界中,人们越来越以自我为中心,越来越不社交。 另一方面,人们受到压力,在COVID-19大流行期间更加焦虑,表现出行为失常症状。为了测量行为失常的症状,精神科医生通常使用长时间的课时和特定调查问卷的投入。这个过程耗时且有时无法发现正确的行为失常。此外,保留的人有时会犹豫不决地跟踪这个过程。我们建立了一个数字框架,可以检测行为失常,并开出虚拟的认知性行为疗法(VCBT)进行康复。通过这个框架,人们可以输入对三种行为失常(即抑郁症、焦虑和互联网上瘾)负有高度责任的数据。我们应用机器学习技术从样本中检测出特定行为失常。这个系统指导用户从任何时间通过VCBT进行基本理解和治疗,这可能成为使用者觉悟和追求正确治疗的垫脚石。