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Machine Learning and Public Health
This special issue belongs to the section “Health Care Sciences & Services“.
Special Issue Information
Dear Colleagues,
We are organizing a Special Issue on the use of Artificial Intelligence and Machine Learning to inform public health research and practice for the International Journal of Environmental Research and Public Health. This journal is peer-reviewed and publishes articles in the interdisciplinary area of environmental health sciences and public health.
Artificial Intelligence methodologies including machine learning have the possibility of transforming public health research and impact. These emerging methodologies offer public health new tools to be able to address problems for which classical methodologies are not well suited. This Special Issue welcomes articles that use artificial intelligence/machine learning to address public health issues, such as:
- Identifying emerging threats (e.g., COVID-19) more quickly;
- Providing more detailed and up-to-date understanding of population disease and risk factor distributions (e.g., online disease surveillance tools, targeted lead inspections);
- Improving forecasting of disease incidence of population health planning;
- Improving targeting of health promotion activities (e.g., sentiment analysis, online tools/apps);
- Integrating artificial intelligence and machine learning into causal analysis of public health topics.
We are also interested in articles that address methodological concerns over artificial intelligence and machine learning such as:
- Explainability;
- Bias;
- Potential for increased health inequities;
- Privacy concerns;
- Data access and sharing;
- Outdated data and analytic infrastructure;
- Lack of AI education and skills within public health.
Dr. Michael Chaiton
Dr. Laura Rosella
Dr. Elham Dolatabadi
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 250 words) can be sent to the Editorial Office for assessment.
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
- artificial intelligence
- machine learning
- public health
- surveillance
- causal inference
- health promotion
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