检索结果-南通市图书馆

Social Media-Based Surveillance Systems for health informatics Using Machine and Deep Learning Techniques:A Comprehensive Review and Open Challenges

引用

Computer Modeling in Engineering & Sciences 2024年第5期139卷 1167-1202页

作者： Samina Amin Muhammad Ali Zeb Hani Alshahrani Mohammed Hamdi Mohammad Alsulami Asadullah Shaikh Institute of Computing Kohat University of Science and TechnologyKohat26000Pakistan Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Information System College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia

Social media(SM)based surveillance systems,combined with machine learning(ML)and deep learning(DL)techniques,have shown potential for early detection of epidemic *** review discusses the current state of SM-based surveillance methods for early epidemic outbreaks and the role of ML and DL in enhancing their ***,every year,a large amount of data related to epidemic outbreaks,particularly Twitter data is generated by *** paper outlines the theme of SM analysis for tracking health-related issues and detecting epidemic outbreaks in SM,along with the ML and DL techniques that have been configured for the detection of epidemic *** has emerged as a promising ML technique that adaptsmultiple layers of representations or features of the data and yields state-of-the-art extrapolation *** recent years,along with the success of ML and DL in many other application domains,both ML and DL are also popularly used in SM *** paper aims to provide an overview of epidemic outbreaks in SM and then outlines a comprehensive analysis of ML and DL approaches and their existing applications in SM ***,this review serves the purpose of offering suggestions,ideas,and proposals,along with highlighting the ongoing challenges in the field of early outbreak detection that still need to be addressed.

关键词： Social media epidemic machine learning deep learning health informatics 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

Managing health Treatment by Optimizing Complex Lab-Developed Test Configurations: A health informatics Perspective

引用

Computers, Materials & Continua 2023年第6期75卷 6251-6267页

作者： Uzma Afzal Tariq Mahmood Ali Mustafa Qamar Ayaz H.Khan Department of Computer Science Federal Urdu University of Arts Science and TechnologyKarachiPakistan Department of Computer Science Institute of Business AdministrationKarachiPakistan Department of Computer Science College of ComputerQassim UniversityBuraydahSaudi Arabia Computer Engineering Department King Fahd University of Petroleum and MineralsDhahranSaudi Arabia SDAIA-KFUPM Joint Research Center for Artificial Intelligence Dhahran31261Saudi Arabia

A complex Laboratory Developed Test(LDT)is a clinical test developed within a single *** is typically configured from many fea-ture constraints from clinical repositories,which are part of the existing Lab-oratory Information Management System(LIMS).Although these clinical repositories are automated,support for managing patient information with test results of an LDT is also integrated within the existing ***,the support to configure LDTs design needs to be made available even in standard LIMS *** manual configuration of LDTs is a complex process and can generate configuration inconsistencies because many constraints between features can remain *** is a risky process and can lead patients to undergo unnecessary *** proposed an optimized solution(opt-LDT)based on Genetic Algorithms to automate the configuration and resolve the inconsistencies in ***-LDT encodes LDT configuration as an optimization problem and generates a consistent configuration that satisfies the constraints of the *** tested and validated opt-LDT for a local secondary care hospital in a real healthcare *** results,averaged over ten runs,show that opt-LDT resolves 90%of inconsistencies while taking between 6 and 6.5 s for each ***,positive feedback based on a subjective questionnaire from clinicians regarding the performance,acceptability,and efficiency of opt-LDT motivates us to present our results for regulatory approval.

关键词： Artificial intelligence health informatics evolutionary algorithms genetic algorithms feature selection laboratory developed test

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

Characteristics and Enlightenment of health informatics Education in American Universities

引用

Review of Educational Theory 2020年第4期3卷 49-53页

作者： Zhongyang Xu Zhiqian Meng Library of Hangzhou Medical College HangzhouZhejiang310000China Beijing Bairui Honglin Pest Control Technology Company Limited Beijing100000China

The demand for health information is increasing in China,and China has gradually paid attention to health informatics *** successful experience of American health informatics education can effectively promote the development of health informatics education in *** paper analyzes the main characteristics of health informatics education in American colleges and universities by literature survey and network survey,and concludes that Chinese colleges and universities should strengthen practical education,enhance teachers’strength,increase the form of educational projects,and perfect the curriculum content system.

关键词： USA University health informatics Education

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

Functional Neuroimaging in the New Era of Big Data

引用

Genomics, Proteomics & Bioinformatics 2019年第4期17卷 393-401页

作者： Xiang Li Ning Guo Quanzheng Li Massachusetts General Hospital and Harvard Medical School

The field of functional neuroimaging has substantially advanced as a big data science in the past decade,thanks to international collaborative projects and community *** we conducted a literature review on functional neuroimaging,with focus on three general challenges in big data tasks:data collection and sharing,data infrastructure construction,and data analysis *** review covers a wide range of literature types including perspectives,database descriptions,methodology developments,and technical *** show how each of the challenges was proposed and addressed,and how these solutions formed the three core foundations for the functional neuroimaging as a big data science and helped to build the current data-rich and data-driven ***,based on our review of recent literature on the upcoming challenges and opportunities toward future scientific discoveries,we envisioned that the functional neuroimaging community needs to advance from the current foundations to better data integration infrastructure,methodology development toward improved learning capability,and multi-discipline translational research framework for this new era of big data.

关键词： Big data Neuroimaging Machine learning health informatics fMRI

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Drug-Treatment Generation Combinatorial Algorithm Based on Machine Learning and Statistical Methodologies

引用

Open Journal of Applied Sciences 2023年第4期13卷 548-561页

作者： Karen Gishyan Institute for informatics and Automation Problems NAS RA Yerevan Armenia

Finding out the desired drug combinations is a challenging task because of the number of different combinations that exist and the adversarial effects that may arise. In this work, we generate drug combinations over multiple stages using distance calculation metrics from supervised learning, clustering, and a statistical similarity calculation metric for deriving the optimal treatment sequences. The combination generation happens for each patient based on the characteristics (features) observed during each stage of treatment. Our approach considers not the drug-to-drug (one-to-one) effect, but rather the effect of group of drugs with another group of drugs. We evaluate the combinations using an FNN model and identify future improvement directions.

关键词： Combinatorial Treatments health informatics Machine Learning

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

Adversarial attacks and defenses in physiological computing:a systematic review

引用

National Science Open 2023年第1期2卷 62-90页

作者： Dongrui Wu Jiaxin Xu Weili Fang Yi Zhang Liuqing Yang Xiaodong Xu Hanbin Luo Xiang Yu Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China Zhejiang Lab Hangzhou 311121China School of Civil and Hydraulic Engineering Huazhong University of Science and TechnologyWuhan 430074China College of Public Administration Huazhong University of Science and TechnologyWuhan 430074China Electrical Engineering and Computer Science Department University of MichiganAnn Arbor MI 48109USA School of Management and Sino-European Institute for Intellectual Property Huazhong University of Science and TechnologyWuhan 430074China

Physiological computing uses human physiological data as system inputs in real *** includes,or significantly overlaps with,brain-computer interfaces,affective computing,adaptive automation,health informatics,and physiological signal based *** computing increases the communication bandwidth from the user to the computer,but is also subject to various types of adversarial attacks,in which the attacker deliberately manipulates the training and/or test examples to hijack the machine learning algorithm output,leading to possible user confusion,frustration,injury,or even ***,the vulnerability of physiological computing systems has not been paid enough attention to,and there does not exist a comprehensive review on adversarial attacks to *** study fills this gap,by providing a systematic review on the main research areas of physiological computing,different types of adversarial attacks and their applications to physiological computing,and the corresponding defense *** hope this review will attract more research interests on the vulnerability of physiological computing systems,and more importantly,defense strategies to make them more secure.

关键词： physiological computing brain-computer interfaces health informatics biometrics machine learning adversarial attack

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

The Internet for Nurses and Allied health Professionals 3

引用

丛书名： health informatics

2002年

作者： Margaret J. A. Edwards

ISBN: (数字)9781461300274

ISBN: (纸本)9780387952369

New and expanded to reflect changes on the Internet, especially the explosive growth of the World Wide Web, this best-selling book is primer to the Internet for those who have little or no computer experience and a time-saving guide to resources for the more experienced surfer. In plain language it describes the Internet, how it works, and how to use various Internet tools. In addition, it provides an extensive listing of health-related Internet resources accompanied by reviews and descriptions - not just URLs - of dozens of health-related topics. From the online "American Journal of Nursing" to the "Virtual Nursing Centre," this third edition contains hundreds of new sites, as well as an expanded section devoted to the use of search engines. The reader will find this directory a treasure trove of information resources available for health care professionals on the Internet. When you need to have up-to-the-minute information at your fingertips, when you need to know about the latest changes in health care reform - that's when you discover the real power of the Internet. It allows you to exchange information with peers around the world instantly, giving you the knowledge edge to keep your nursing or health care practice professional and progressive.

关键词： Nursing health informatics

来源：畅想之星图书光盘版（南... 评论

在线全文

畅想之星图书光盘版（南通市图书馆镜像）

学校读者我要写书评

暂无评论

健康信息学的学科范畴与中国健康信息学的发展

引用

图书馆学情报学 2022年第7期

作者：周晓英裴俊良

信息学正在与健康科学产生更多的关联，逐渐发展成为一门新兴的交叉学科——健康信息学。2021年10月，“健康信息学学科建设与发展学术研讨会”在北京召开，与会专家学者对健康信息学的概念定义、内容框架、社会需求、与相关学科的关系... 详细信息

信息学正在与健康科学产生更多的关联，逐渐发展成为一门新兴的交叉学科——健康信息学。2021年10月，“健康信息学学科建设与发展学术研讨会”在北京召开，与会专家学者对健康信息学的概念定义、内容框架、社会需求、与相关学科的关系、新冠疫情防控与健康信息学、健康信息学学科建设等主要议题展开讨论。本文在深入研究国内外健康信息学理论和实践的基础上，结合与会专家的讨论，阐述中国健康信息学在起步阶段需要厘清的基本理论问题：健康信息学是什么，由哪些内容构成，发展过程如何，中国的健康信息学要如何发展。研究发现：①与大健康时代的健康概念相对应，健康信息学是一个大的学科群，它囊括了将信息学应用于健康、生物、医学领域而产生的一系列新兴学科，可以称之为大健康信息学或者生物医学健康信息学(BMHI)；②大健康信息学与多个学科有关联，是典型的交叉学科，包括众多的子学科，这些子学科秉承信息学共有的理论概念、方法技巧、技术手段，它们互有区别但又相互关联；③健康信息学研究从传统的聚焦解决临床医学中的信息问题，拓展到关注公共卫生中的信息问题，再拓展到关注民众日常生活中的健康信息问题；④在大健康时代，在健康中国建设和发展的机遇期，应通过不断学习、创新和提高，加快建设中国特色的大健康信息学，推动大健康信息学发展成为教育部交叉学科类别中的一级学科。

关键词：健康中国健康信息学医学信息学学科建设学科范畴学科发展 healthy China health informatics Medical informatics Discipline construction Discipline category Discipline development

来源：人大复印报刊资料评论

在线全文

人大复印报刊资料

学校读者我要写书评

暂无评论

Men with prostate cancer and the accessibility to information—a literature review

引用

Open Journal of Nursing 2011年第2期1卷 15-25页

作者： Charlotte Dorisdatter Bjornes Christian Nohr Charlotte Delmar Birgitte Schantz Laursen Department of Development and Planning Aalborg UniversityAalborgDK Clinical Nursing Research Unit Aalborg HospitalAarhus University HospitalDK Department of Urology Aalborg HospitalAarhus University HospitalDK

Objective: To explore possible consequences of short stays in hospitals, as these short contacts reduce the patients’ time for information and support. Method: A literature survey was carried out to get an insight in possible consequences by summarizing the state of knowledge on how men with prostate cancer undergoing prostatec-tomy surgery experience their contacts with the healthcare professionals. Results: A consequence is that often men with prostate cancer, treated with prostatectomy surgery, do not receive the individualized support, infor-mation, and dialogue they need, which leads to feelings of uncertainty, insecurity, and loss of control. The men use the Internet in their search for information and support, which makes them able to stay in control and be active, responsible partners in their own course of treatment. Conclusion: For men to feel secure and certain the accessibility of the healthcare professionals and the healthcare professionals’ ability to individualize information and support are important aspects. Practice Implications: It is relevant to provide male cancer patients with tools that can underpin their contact to the healthcare professionals. Utilizing Web 2.0 technologies, Internet based tools can support exchange-ability, towards dialogue-based contacts, between men with prostate cancer and healthcare professionals.

关键词： health Communication Access to Information Short Stay Patients Prostate cancer Prostatectomy Un-certainty Active Patients health informatics Online Social Support

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

Data Analysis of Multiplex Sequencing at SOLiD Platform:A Probabilistic Approach to Characterization and Reliability Increase

引用

American Journal of Molecular Biology 2018年第1期8卷 26-38页

作者： Fábio Manoel Franca Lobato Carlos Diego Damasceno Daniela Soares Leite Andrea Kelly Ribeiro-dos-Santos Sylvain Darnet Carlos Renato Francês Nandamudi Lankalapalli Vijaykumar Adamo Lima de Santana Engineering and Geoscience Institute Federal University of Western Pará (UFOPa) Santarém Brazil Technological Institute Federal University of Pará (UFPa) Belém Brazil Institute of Mathematical and Computer Sciences University of Sao Paulo (USP) Sao Carlos Brazil Department of Morphology and Physiological Sciences State University of Pará Marabá Brazil Biological Science Institute Federal University of Pará (UFPa) Belém Brazil Laboratory of Computing and Applied Mathematics National Institute for Space Research (INPE) Sao José Dos Campos Brazil

New sequencing technologies such as Illumina/Solexa, SOLiD/ABI, and 454/Roche, revolutionized the biological researches. In this context, the SOLiD platform has a particular sequencing type, known as multiplex run, which enables the sequencing of several samples in a single run. It implies in cost reduction and simplifies the analysis of related samples. Meanwhile, this sequencing type requires an additional filtering step to ensure the reliability of the results. Thus, we propose in this paper a probabilistic model which considers the intrinsic characteristics of each sequencing to characterize multiplex runs and filter low-quality data, increasing the data analysis reliability of multiplex sequencing performed on SOLiD. The results show that the proposed model proves to be satisfactory due to: 1) identification of faults in the sequencing process;2) adaptation and development of new protocols for sample preparation;3) the assignment of a degree of confidence to the data generated;and 4) guiding a filtering process, without discarding useful sequences in an arbitrary manner.

关键词： Probabilistic Modeling health informatics SOLiD Barcoding System Statistical Analysis Multiplex Sequencing

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

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

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

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

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：