检索结果-南通市图书馆

The Utility of Artificial Intelligence for Mood Analysis,Depression Detection,and suicide Risk Management

Journal of Health Science 2020年第2期8卷 67-73页

作者： Bahman Zohuri Siamak Zadeh Ageno School of Business Golden Gate UniversitySan FranciscoCalifornia 94105USA Galaxy Advanced Engineering AlbuquerqueNew Mexico 87111USA

Mood disorders are often an indication or a sign of depression,and individuals suffering from mood swings may face higher probability and increased suicidal ***-also called“clinical depression”or a“depressive disorder”-is a mood disorder that adversely impacts how an individual feels,thinks,and handles daily activities,such as sleeping,eating,or *** be diagnosed with depression,symptoms must be present most of the time,nearly every day for at least minimum of 2 to 3 *** sad or having low emotional energy may be common among *** most,however,these feelings are transitory and can be managed by changing daily life *** for some,prolonged mood disorders can lead to depression and foster suicidal *** is a major public health *** 47,000 people died by suicide in the United States in *** is the 10th leading cause of death overall according to NIMH(National Institute of Mental Health).suicide is complicated and tragic,but it is often *** the warning signs for suicide and how to get help can be a major mitigating *** this short communication,we are reviewing the promise and limitations of AI(artificial intelligence)with its integrated tools such as ML(machine learning)and DL(deep learning)for mood analysis as a means for detecting early signs of depression and increased suicidal tendencies for possible suicide risk management.

关键词： Depression suicide attempt and suicide rate youngsters suicide risk management augmentation of AI in depression treatment and suicide management

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Transcranial and Repetitive Transcranial Magnetic Stimulation Driving a Noninvasive Depression Treatment

引用

Journal of Health Science 2020年第3期8卷 87-99页

作者： Bahman Zohuri Ageno School of Business Golden Gate UniversitySan FranciscoCaliforniaCA 94105USA Galaxy Advanced Engineering Inc.California 94105USA

These days the most devasting disease that is even worse than the new pandemic COVID19 is commonly spreading and exists is human depression to be more *** world-wide episode of depression is something that has no permanent cure either among the youngsters in particular and older people in *** and scientists in the field of medicine and psychology are looking for some noninvasive approaches to treat this *** chemical medications available in the market that are subscribed to patients are not effective as one set of solution across all the patients and in case of deep depression invasive solution such as clinical Electro-Convulsive Therapy(ECT)in most cases should not be prescribed due to tremendous and devasting side effects of it on patients that are going through such treatment for long term as a means of solution to their depression *** studies and clinical results are supporting a new generation of magnetic treatment approach that is known as Transcranial Magnetic Stimulation(TMS)or in case of a longer term suggests repetitive Transcranial Magnetic Stimulation(rTMS),both as very non-invasive approaches with almost no adverse side effects on patients that are receiving such clinical *** this paper we study these two recently approved approaches by Food and Drug Administration(FDA)as well as a newly suggested electric energy medicine by utilizing a new form of wave that is known as a Scalar Wave,which is a non-linear,non-Hertzian,standing wave capable of supporting significant effects including carrying information and inducing higher levels of cellular energy,which greatly enhances the performance and effectiveness of the body and immune system.

关键词： Depression suicide attempt and suicide rate youngsters suicide risk management TMS rTMS ECT.

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：