检索结果-南通市图书馆

covid-19 virus Prediction Using CNN and Logistic Regression Classification Strategies

Journal of Data Analysis and Information Processing 2022年第1期10卷 78-89页

作者： Asadi Srinivasulu Tarkeshwar Barua Srinivas Nowduri Madhusudhana Subramanyam Sivaram Rajeyyagari Data Science Research Laboratory BlueCrest University Monrovia Liberia

covid-19 virus is certainly considered as one of the harmful viruses amongst all the illnesses in biological science. covid-19 symptoms are fever, cough, sore throat, and headache. The paper gave a singular function for the prediction of most of the covid-19 virus diseases and presented with the Convolutional Neural Networks and Logistic Regression which might be the supervised learning and gaining knowledge of strategies for most of covid-19 virus diseases detection. The proposed system makes use of an 8-fold pass determination to get a correct result. The covid-19 virus analysis dataset is taken from Microsoft Database, Kaggle, and UCI websites gaining knowledge of the repository. The proposed studies investigate Convolutional Neural Networks (CNN) and Logistic Regression (LR) about the usage of the UCI database, Kaggle, and Google Database Datasets. This paper proposed a hybrid method for covid-19 virus, most disease analyses through reducing the dimensionality of capabilities the usage of Logistic Regression (LR), after which making use of the brand new decreased function dataset to Convolutional Neural Networks and Logistic regression. The proposed method received the accuracy of 78.82%, sensitiveness of 97.41%, and specialness of 98.73%. The overall performance of the proposed system is appraised thinking about performance, accuracy, error rate, sensitiveness, particularity, correlation and coefficient. The proposed strategies achieved the accuracy of 78.82% and 97.41% respectively through Convolutional Neural Networks and Logistic Regression.

关键词： Machine Learning covid-19 virus Deep Learning ANN CNN and LR

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

Exploring Cross Generational covid-19 Attitudes and Behaviors

引用

Advances in Aging Research 2021年第5期10卷 113-132页

作者： Regula H. Robnett Thomas M. Meuser Stephen Cheng Dan Thai Dechen Tuladhar McGyver Poulin Center for Excellence in Aging and Health & Occupational Therapy Department University of New England Portland ME USA Center for Excellence in Aging and Health & School of Social Work University of New England Portland ME USA College of Medicine University of New England Portland ME USA Department of Occupational Therapy University of New England Portland ME USA

Objective: The covid-19 pandemic has presented extraordinary challenges that have tested the resolve of the world and transformed our daily lives. We sought to capture covid-related attitudes and behaviors of older ad... 详细信息

Objective: The COVID-19 pandemic has presented extraordinary challenges that have tested the resolve of the world and transformed our daily lives. We sought to capture COVID-related attitudes and behaviors of older adults and relate these to views of adolescents from a national study in the USA. Methods: This mixed-methods online survey accepted responses from adult volunteers, age 55+, from April to July 2020 (N = 223). We used a snowball approach to recruitment initiated in the state of Maine (USA). Results: Older respondents tended to report congruent attitudes concerning covid-19 risks and associated preventative behaviors. Most reported taking Centers for Disease Control and Prevention guidance seriously. In contrast, adolescents surveyed in a prior study reported similar adherence, but less concern. Thematic review of open-ended responses highlights key intergenerational similarities and differences. Discussion: covid-19 has changed day-to-day life in myriad ways. Attitudes vary within and between age groups. Further research could focus on intergenerational differences in motivations underlying behaviors as well as differing needs for public health education and support.

关键词： covid-19 virus Older Adults Attitudes Behaviors Pandemic

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：