使用机器学习和深度学习算法预测心理健康不稳定

Q4 Computer Science
Ch. Radhika
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引用次数: 0

摘要

摘要:心理健康不稳定会阻碍个体的生活,导致抑郁、焦虑等各种健康问题,进而导致心理失衡或严重的心理不稳定。这种心理不稳定会导致双相情感障碍。影响一个人心理健康的原因有很多,这些原因可能是可以改变的,也可能是不可改变的。双相情感障碍会导致一个人的情绪和精力发生变化。人们会因为紊乱而经历强烈的情绪状态。需要对患有这种疾病的人进行适当的诊断和治疗,以实现健康和积极的生活。这种心理不稳定的确定可以使用机器学习和深度学习算法进行预测,并将其准确性进行比较。使用的数据集是一个基于调查的实时数据集,它识别了不同个体的日常活动和状况。调查问卷由各种问题组成,这些问题决定了个体的压力和心理感受。该数据集用于训练模型,以确定任何心理不稳定的患病率。针对实时数据集,比较了各种双极分类方法的性能精度。心理不稳定的检测在降低严重程度的风险方面起着关键作用
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of Mental Health Instability using Machine Learning and Deep Learning Algorithms
Abstract: One’s mental health instability can hinder the individual’s life that leads to various health issues, like depression and anxiety that in turn results in mental imbalance or severe psychological instability. This psychological instability can lead to bipolar disorder. There are various reasons affecting one’s mental well-being, the reasons can either be modifiable or nonmodifiable. Bipolar disorder causes changes in a person's mood and energy. People will experience intense emotional states because of disorder. Proper diagnosis and treatment is required for the people with this disorder which lead to healthy and active lives. Determination of this psychological instability can be predicted using machine learning and deep learning algorithms and the accuracies will be compared for the same. The dataset used is a survey based real time dataset which identifies the everyday activities and conditions of various individuals. The survey questionnaire consists of various questions determining the stress and psychological feelings among the individuals. This dataset is used in training the models to determine the prevalence of any psychological instability. Comparison of various bipolar classification methods with their performance accuracy against the real- time dataset is done. Detection of psychological instability plays a key role in reducing the risk of severity
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来源期刊
International Journal of Computer Science and Applications
International Journal of Computer Science and Applications Computer Science-Computer Science Applications
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期刊介绍: IJCSA is an international forum for scientists and engineers involved in computer science and its applications to publish high quality and refereed papers. Papers reporting original research and innovative applications from all parts of the world are welcome. Papers for publication in the IJCSA are selected through rigorous peer review to ensure originality, timeliness, relevance, and readability.
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