Special Issue "Current Advances in Machine Learning and Biostatistics Approaches in Public Health and Epidemiology"

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 December 2021.

Special Issue Editor

Dr. Daisuke Yoneoka
E-Mail Website1 Website2
Guest Editor
1. Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo 160-8582, Japan
2. Department of Health Policy and Management, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
3. Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan
Interests: biostatistics; machine learning for personalized medicine; spatio temporal models for epidemiological data; statistical methods for GWAS; meta-analysis

Special Issue Information

Dear Colleagues,

Biostatistics/machine learning and big data have intersected in the field of epidemiology and public health. In the past decade, the use of biostatistical and machine learning approaches has contributed significantly to addressing global health issues and allowed considerable progress. We invite papers addressing a variety of topics (not only the use of advanced biostatistical topics, but also epidemiological and public health applications of cutting-edge methods such as deep learning) for the Special Issue of International Journal of Environmental Research and Public Health (IJERPH), especially those combining advanced biostatistics and machine learning methods with a practical focus on providing solutions to globally important issues such as the COVID-19 pandemic, noncommunicable diseases, global warming, etc. We expect that work featured in this Special Issue will differ from that in Machine Learning in Healthcare and Bioinformatics by focusing on data and algorithms related to the public health and epidemiological conditions that are strongly associated with our health, including lifestyle, policy, socioeconomic, psychiatric, behavioral, and environmental factors.

Dr. Daisuke Yoneoka
Guest Editor

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 papers will be 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 2300 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

  • machine learning
  • biostatistics
  • computational epidemiology
  • big data
  • natural language processing
  • computer vision
  • information retrieval
  • software
  • COVID-19

Published Papers

This special issue is now open for submission.
Back to TopTop