The Application of “Big Data Analysis + Hierarchical Medical” Model in the Context of the COVID-19

The COVID-19 epidemic has swept the world, causing serious impact and influence on economic development and residents' life in countries all over the world. This paper takes China as an example, further analyses the characteristics of China's hierarchical medical model based on the international hierarchical medical research planning, and proposes the application of “big data analysis + hierarchical medical” model for the new coronavirus epidemic and other public health emergencies based on the advantages of big data application to solve public health crises, in order to provide a reference for the planning of hierarchical medical system during the epidemic. It is expected to provide reference for the planning of hierarchical medical and health system during the epidemic, which is an innovative attempt of the medical industry.

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Surveillance and Disease Control in COVID-19: Big Data Application in Public Health

2021 International Conference on Applications and Techniques in Cyber Intelligence - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-79197-1_82 ◽

2021 ◽

pp. 565-570

Author(s):

Muxi Zheng

Keyword(s):

Public Health ◽

Big Data ◽

Disease Control ◽

Data Application ◽

Big Data Application

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Big Data Application in Biomedical Research and Health Care: A Literature Review

Biomedical Informatics Insights ◽

10.4137/bii.s31559 ◽

2016 ◽

Vol 8 ◽

pp. BII.S31559 ◽

Cited By ~ 127

Author(s):

Jake Luo ◽

Min Wu ◽

Deepika Gopukumar ◽

Yiqing Zhao

Keyword(s):

Public Health ◽

Health Care ◽

Big Data ◽

Health Informatics ◽

Imaging Informatics ◽

Clinical Informatics ◽

Public Health Informatics ◽

Big Data Applications ◽

Data Application ◽

Big Data Application

Big data technologies are increasingly used for biomedical and health-care informatics research. Large amounts of biological and clinical data have been generated and collected at an unprecedented speed and scale. For example, the new generation of sequencing technologies enables the processing of billions of DNA sequence data per day, and the application of electronic health records (EHRs) is documenting large amounts of patient data. The cost of acquiring and analyzing biomedical data is expected to decrease dramatically with the help of technology upgrades, such as the emergence of new sequencing machines, the development of novel hardware and software for parallel computing, and the extensive expansion of EHRs. Big data applications present new opportunities to discover new knowledge and create novel methods to improve the quality of health care. The application of big data in health care is a fast-growing field, with many new discoveries and methodologies published in the last five years. In this paper, we review and discuss big data application in four major biomedical subdisciplines: (1) bioinformatics, (2) clinical informatics, (3) imaging informatics, and (4) public health informatics. Specifically, in bioinformatics, high-throughput experiments facilitate the research of new genome-wide association studies of diseases, and with clinical informatics, the clinical field benefits from the vast amount of collected patient data for making intelligent decisions. Imaging informatics is now more rapidly integrated with cloud platforms to share medical image data and workflows, and public health informatics leverages big data techniques for predicting and monitoring infectious disease outbreaks, such as Ebola. In this paper, we review the recent progress and breakthroughs of big data applications in these health-care domains and summarize the challenges, gaps, and opportunities to improve and advance big data applications in health care.

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Big Data an Interesting Tool for Policing and Law Enforcement to Ensure the Safety, Health, Possessions of Citizens, and To Prevent Crime and Civil Disorder

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.k7760.0991120 ◽

2020 ◽

Vol 9 (11) ◽

pp. 225-228

Keyword(s):

Big Data ◽

Law Enforcement ◽

Small Contribution ◽

Global Pandemic ◽

Data Application ◽

The World ◽

Civil Disorder ◽

Big Data Application ◽

Physical Asset ◽

Predictive Software

This research paper portrays a small contribution towards the exploration of big data application; particularly in the policing and legal departments around the world. It showcases the concept of real time study of ever growing, constant and large amount of data being put into use and showcasing how this data in the coming world is not less than any physical asset. This paper provides a good understanding about the implementation of big data and how out of multiple sectors it is being utilized in the policing and law enforcement sectors of numerous countries with the help of technical advancements like Artificial Intelligence and Predictive Software. An understanding in the working of Predictive Analysis Softwares & AI with the policing bodies that already are into existence and running. This includes system-oriented reproductions for producing road segment-based lawbreaking forecasts. The big data proved to be very useful for the policing and law enforcement sectors during the global pandemic caused by the COVID-19 virus when social distancing is critical.

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A data analysis framework for biomedical big data: Application on mesoderm differentiation of human pluripotent stem cells

PLoS ONE ◽

10.1371/journal.pone.0179613 ◽

2017 ◽

Vol 12 (6) ◽

pp. e0179613 ◽

Cited By ~ 6

Author(s):

Benjamin Ulfenborg ◽

Alexander Karlsson ◽

Maria Riveiro ◽

Caroline Améen ◽

Karolina Åkesson ◽

...

Keyword(s):

Stem Cells ◽

Big Data ◽

Data Analysis ◽

Pluripotent Stem Cells ◽

Human Pluripotent Stem Cells ◽

Analysis Framework ◽

Data Application ◽

Big Data Application

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Joy to the world : the satisfaction of post-truth.

Soft Power ◽

10.14718/softpower.2019.6.2.2 ◽

2019 ◽

Vol 6 (2) ◽

pp. 16-35

Author(s):

Ignas Kalpokas

Keyword(s):

Big Data ◽

Data Analysis ◽

Contextual Factors ◽

Big Data Analysis ◽

The World ◽

Key Factor

This article aims to uncover the key preconditions and characteristics of post-truth as well as the contextual factors explaining its appeal. The key factor appears to be posttruth’s ability to incite pleasure, in terms of both it being unconstrained by veracity and the advance and the capacity to know what the necessary pleasure-inciting variables are through big data analysis. That neatly corresponds with the general rise to prominence of satisfaction and affective mobilisation in competition over increasingly scarce audience attention, making post-truth a distinctly contemporary phenomenon.

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Analysis on the Application of Big Data Technology in “Internet + Wisdom Judicial Expertise”

E3S Web of Conferences ◽

10.1051/e3sconf/202125101029 ◽

2021 ◽

Vol 251 ◽

pp. 01029

Author(s):

Juan Xu

Keyword(s):

Big Data ◽

Data Analysis ◽

Information Structure ◽

Big Data Analysis ◽

Resource Network ◽

Big Data Application ◽

Application Requirements ◽

Analysis Platform ◽

Judicial Expertise ◽

Big Data Technology

It can be seen from the current development process of the field of forensic expertise that there are many problems in the application of the mechanism of the information structure. These problems lead to imperfect informatization construction process and too limited identification forms, which will have a great impact on the final identification results. This article summarizes the main content of big data technology in the construction of “Internet + Wisdom Judicial Expertise”. This article discusses the specific application recommendations of big data technology in the “Internet + smart forensic appraisal”, from focusing on forensic appraisal data collection and sorting, understanding forensic appraisal big data application requirements, building forensic appraisal big data analysis platform, and strengthening big data analysis platform resource network sharing four aspects.

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Perspectives on a Big Data Application: What Database Engineers and IT Students Need to Know

Engineering, Technology & Applied Science Research ◽

10.48084/etasr.592 ◽

2015 ◽

Vol 5 (5) ◽

pp. 850-853 ◽

Cited By ~ 2

Author(s):

E. Erturk ◽

K. Jyoti

Keyword(s):

Big Data ◽

Computer Engineering ◽

It Professionals ◽

Academic Literature ◽

Current Trends ◽

Data Application ◽

The World ◽

Big Data Application ◽

Institute Of Technology ◽

Eastern Institute

Cloud Computing and Big Data are important and related current trends in the world of information technology. They will have significant impact on the curricula of computer engineering and information systems at universities and higher education institutions. Learning about big data is useful for both working database professionals and students, in accordance with the increase in jobs requiring these skills. It is also important to address a broad gamut of database engineering skills, i.e. database design, installation, and operation. Therefore the authors have investigated MongoDB, a popular application, both from the perspective of industry retraining for database specialists and for teaching. This paper demonstrates some practical activities that can be done by students at the Eastern Institute of Technology New Zealand. In addition to testing and preparing new content for future students, this paper contributes to the very recent and emerging academic literature in this area. This paper concludes with general recommendations for IT educators, database engineers, and other IT professionals.

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