Machine Learning in Epidemiology
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Epidemiology".
Deadline for manuscript submissions: 30 May 2025 | Viewed by 144
Special Issue Editors
Interests: biomedical and clinical research with a strong focus on study design and statistical analysis; physiological data analytics; electronic health record data mining; predictive modeling and machine learning in biomedical science
Interests: mobile health and telehealth system development and evaluation; machine learning; large-scale data analytics; information security and privacy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) and machine learning (ML) are revolutionizing epidemiology, offering unprecedented tools for analyzing vast amounts of health data and generating previously unobtainable insights. These technologies enable the development of predictive models, improve disease surveillance, and optimize healthcare resource allocation. AI/ML approaches also encourage personalized healthcare by tailoring interventions based on individual risk factors and population-level trends, thus enhancing both prevention and treatment strategies.
In this Special Issue, we invite submissions that explore the innovative use of AI and ML in epidemiological research, with a particularly interest in how these methodologies can be leveraged to improve disease outbreak predictions, support public health decision making, and utilize both structured and unstructured data to achieve more precise health outcomes. Additionally, we welcome research that highlights the challenges, ethical considerations, and future directions in AI/ML integration in the field of epidemiology.
By fostering interdisciplinary collaboration and advancing AI/ML applications, this Special Issue aims to contribute to the development of more effective, data-driven public health strategies essential for addressing current and emerging health challenges.
Dr. Xingyu Zhang
Dr. Leming Zhou
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. Journal of Personalized Medicine 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 2600 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
- epidemiology
- predictive analytics
- health data
- public health
- precision medicine
- disease surveillance
- big data analytics
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