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Special Issue "3rd Edition of Big Data, Decision Models, and Public Health"

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Public Health Statistics and Risk Assessment".

Deadline for manuscript submissions: 31 March 2023 | Viewed by 75

Special Issue Editors

Prof. Dr. Chien-Lung Chan
E-Mail Website
Guest Editor
Dean, Department of Information Management, Yuan Ze University, Taoyuan City, Taiwan
Interests: medical informatics; decision science; big data analytics; public health
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Chi-Chang Chang
E-Mail Website
Guest Editor
Chair of Medical Informatics Department, Chung Shan Medical University, Taichung City, Taiwan
Interests: medical informatics; clinical decision analysis; simulation modeling; shared medical decision making
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the digital era, the volume and velocity of environmental, population, and public health data from a diverse range of sources are growing rapidly. Big data analytic techniques such as statistical analysis, data mining, machine learning, and deep learning can be applied to construct innovative decision models. Decision making based on concrete evidence is critical and has a substantial impact on public health and program implementation. This fact highlights the important role of decision models under uncertainty, including disease control, health intervention, preventive medicine, health services and systems, health disparities and inequalities, quality of life, etc. With complex decision making, it can be difficult to comprehend and compare the benefits and risks of all available options to make a decision.

After the success of the previous two Special Issues on “Big Data, Decision Models, and Public Health”, we are pleased to invite researchers to contribute to the third edition of the Special Issue. The aim of this third edition is similar to that of the previous two editions, i.e., to collect a series of articles related to big data analytics and forms of public health decision making based on the decision model, spanning from theory to practice. While working with people’s health and medical information, we also need to commit to scientific integrity issues including people’s privacy, data sharing, bias and uncertainty, research design, and statistical inference. Practical experiences and experiments concerning the above issues in big data analytics are also welcome.

Prof. Dr. Chien-Lung Chan
Prof. Dr. Chi-Chang Chang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • big data analytics
  • data mining, deep learning, and artificial intelligence
  • survival analysis and health hazard evaluations
  • statistics and quality of health/medical big data
  • intelligent decision-making models in public health
  • health risk evaluation and modeling
  • patient safety and outcomes
  • data-driven decision models with empirical studies
  • cloud computing and innovative services
  • decision applications in clinical issues
  • decision support in traditional Chinese medicine
  • precision health decision support technologies

Related Special Issues

Published Papers

This special issue is now open for submission.
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