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Predicting Students' Transformation to Maximum Depressive Disorder and Level of Suicidal Tendency

机译:预测学生对最大抑郁症的转变和自杀趋势水平

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Suicide is an instance of taking own life intentionally. The second main reason behind the death of young persons aged amid 10 to 24 years is suicide. Depression and unhappiness leads the people to commit suicides. Major Depressive Disorder (MDD) or simply 'depression' can be mild or severe that engages lack of curiosity and joy towards usual activities and low mood. It can be short-lived or chronic. The paradox is that, among the most treatable problems, depression is the one and it can be cured with the help of medication and psychotherapy. Suicides can be prevented by measuring the level of depression. An online questionnaire has been developed to assess the depression level of a person and predicted the suicide tendency by applying two machine learning algorithms LVQ(Learning Vector Quantization) and KNN(K-Nearest Neighbor). The study shows that LVQ, an exceptional case of neural network gives more accuracy than the KNN model.
机译:自杀是一个故意自行生命的实例。 10至24岁的年轻人死亡背后的第二个主要原因是自杀。抑郁和不快乐引导人们自杀。主要的抑郁症(MDD)或简单地“抑郁”可以轻度或严重,从而缺乏好奇心和常规活动和情绪低情。它可以是短暂的或慢性的。悖论是,在最具可治疗的问题中,抑郁症是抑郁症,它可以在药物和心理治疗的帮助下治愈。通过测量抑郁水平,可以防止自杀。已经开发了一个在线问卷来评估人的抑郁水平,并通过应用两种机器学习算法LVQ(学习矢量量化)和KNN(K最近邻居)来预测自杀趋势。该研究表明,LVQ,神经网络的特殊情况提供比KNN模型更精确。

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