Finding Psychological Instability Using Machine Learning

V. U. Kumar, A. Savithri, M. Bhavani, A. Priya, K. Jahnavi, Namburu Divya Naga Lakshmi
{"title":"Finding Psychological Instability Using Machine Learning","authors":"V. U. Kumar, A. Savithri, M. Bhavani, A. Priya, K. Jahnavi, Namburu Divya Naga Lakshmi","doi":"10.1109/ICSSS49621.2020.9202009","DOIUrl":null,"url":null,"abstract":"As we know that people around the globe work hard to keep up with this racing world. However, due to this each individual is dealing with different health issues, one of the most known issue is depression or stress which may eventually lead to death or other brutal activities. These abnormalities can be termed as the Bipolar disorder which can be treated by undergoing some treatment suggested by specialists. For this research, data has been collected from working people which comprises of all kinds of questions for despondent detection and the dataset has been run through some machine learning algorithms. Random Forest algorithm gives the highest accuracy as 87.02% compared to the other algorithms.","PeriodicalId":286407,"journal":{"name":"2020 7th International Conference on Smart Structures and Systems (ICSSS)","volume":"16 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 7th International Conference on Smart Structures and Systems (ICSSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSS49621.2020.9202009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

As we know that people around the globe work hard to keep up with this racing world. However, due to this each individual is dealing with different health issues, one of the most known issue is depression or stress which may eventually lead to death or other brutal activities. These abnormalities can be termed as the Bipolar disorder which can be treated by undergoing some treatment suggested by specialists. For this research, data has been collected from working people which comprises of all kinds of questions for despondent detection and the dataset has been run through some machine learning algorithms. Random Forest algorithm gives the highest accuracy as 87.02% compared to the other algorithms.
利用机器学习发现心理不稳定
正如我们所知,世界各地的人们都在努力跟上这个赛车世界。然而,由于这一点,每个人都在处理不同的健康问题,其中最著名的问题是抑郁或压力,最终可能导致死亡或其他残酷的行为。这些异常可以被称为双相情感障碍,可以通过接受专家建议的一些治疗来治疗。在这项研究中,数据是从工作人员中收集的,其中包括用于抑郁检测的各种问题,并通过一些机器学习算法运行数据集。与其他算法相比,随机森林算法的准确率最高,为87.02%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信