Machine Learning and Modeling in Epidemiology and Health Policy

Dear Colleagues,

Machine Learning (ML) and Operations Research (OR) have been used frequently in recent years in many areas, including healthcare and medicine. Even though they facilitate processing large amounts of information and the evaluation of complex systems, not all of the advantages of ML and OR have been exploited in healthcare, particularly in epidemiology and health policy. Due to the inherent complexity of healthcare systems, advanced ML and modeling techniques should be developed for use in prediction, policy evaluation, and decision making. These advanced techniques include reinforcement learning, active learning, transfer learning, semi-supervised learning, and ensemble learning for ML, and game theory, combinatorial optimization, and dynamic programming for modeling. This Special Issue aims to highlight the importance of ML, OR, and system modeling in epidemiology and health policy. It also aims to initiate developing innovative and hybrid ML and decision-making methods with applications in healthcare decision-making. This Special Issue will attract researchers and practitioners working in digital health, pandemic modeling, health policy, and medical informatics. 

You may choose our Joint Special Issue in Healthcare.

Dr. Hadi Akbarzadeh Khorshidi
Dr. Marzieh Soltanolkottabi
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.