Advances in the Modeling and Analytics of Health and Healthcare Systems

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Practice in Social Science".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 91

Special Issue Editor


E-Mail Website
Guest Editor
1. Faculty of Environment and Technology, University of the West of England, Bristol BS16 1QY, UK
2. Laboratoire Modélisation, Information, Systèmes (MIS), University of Picardie Jules Verne, 80080 Amiens, France
Interests: health informatics; machine learning; modeling and simulation; knowledge graphs

Special Issue Information

Dear Colleagues,

This Special Issue, “Advances in the Modeling and Analytics of Health and Healthcare Systems”, delves into the intersection of cutting-edge modeling techniques and advanced analytics applied to the intricate landscape of health and healthcare systems. With a focus on innovation, this collection aims to explore the latest methodologies that enhance our understanding of the complex dynamics within health systems, from macro-level organizational structures to micro-level patient interactions. For instance, recent methodologies, such as agent-based modeling and deep learning algorithms, have shown promise in elucidating the intricate relationships between healthcare providers, patients, and healthcare resources.

This Special Issue welcomes contributions that employ sophisticated modeling frameworks, data-driven analytics, and interdisciplinary approaches to address challenges in healthcare delivery, resource optimization, patient outcomes, and public health. For instance, we encourage studies showcasing the efficacy of predictive modeling in identifying high-risk patient populations for targeted interventions, thereby fostering improved care coordination and reduced healthcare costs. Moreover, we welcome contributions spotlighting machine learning applications that exhibit promise in analyzing large-scale healthcare datasets to unveil hidden patterns and correlations, paving the way for more personalized treatment strategies and enhanced patient outcomes.

Topics of interest include, but are not limited to, predictive modeling, machine learning applications, simulation studies, and network analyses, providing a comprehensive exploration of the tools and methodologies shaping the future of health system research.

Dr. Mahmoud Elbattah
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 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. Systems 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 2400 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

  • healthcare modeling
  • predictive analytics
  • health system dynamics
  • patient-centric modeling
  • interdisciplinary healthcare research
  • machine learning in healthcare
  • simulation for healthcare systems
  • optimizing resource allocation in healthcare
  • public health analytics
  • enhancing patient outcomes.

Published Papers

This special issue is now open for submission.
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