Advances in Intelligence-Driven Digital Data for Public Health
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Digital Health".
Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 7321
Special Issue Editors
Interests: big data; public health; artificial intelligence; environmental behavior; e-health; digital health; E-commerce
Interests: environmental management; environmental safety; environmental pollution; low-carbon management; risk management; marketing management; e-commerce; social networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the world has seen rapid progress in the development and use of digital technologies. This trend exerts a significant impact on the lives of the global population. The application of novel technologies within health systems has the potential to be beneficial for human health, and to produce a huge amount of digital data on public health.
The enormous amount of digital data on public health may greatly complement and expand the traditional sources of clinical data. These data capture the richness and granularity of individual behaviors, the confluence of the factors affecting the behaviors, as well as the individualized evolution of the behaviors. By revealing the digital markers of health and risk behaviors, digital data on public health could contribute to and promote the clinical tracking of disorders over time.
Artificial intelligence (AI), combined with big data, can perform automated/case-based reasoning, constraint processing, deep learning, and deep reinforcement learning. The advances in AI and big data analysis have created unparalleled opportunities to assess and modify health behavior, and enable scientists to understand and improve health behavior and health outcomes.
This Special Issue intends to provide a platform for researchers, health practitioners, policymakers, and governments to obtain critical insights and apply the state-of-the-art AI techniques to public health digital data. We especially welcome original research and review papers that address digital health data-driven intelligent approaches, as well as their applications in health care and public health.
Potential topics include, but are not limited to, the following:
- Analyzing mental and emotional health in the context of digital data on public health;
- Big data modeling and machine learning for e-health;
- Case studies on the application of public health digital data in health care and public health;
- Collection and management of digital data on public health;
- Data-driven empirical analysis for health behavior and psychopathology;
- Public health interventions and disaster risk reduction;
- Other research related to data-driven intelligence for digital public health.
Dr. Sheng Bin
Dr. Xuefeng Shao
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 monthly 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
- data science
- public health
- artificial intelligence
- digital health
- m-health
- e-health
- big data
- data analysis
- environmental behavior
- health behavior
