E-Health: Big Data Trends in Healthcare
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 279
Editor
Special Issue Information
Dear Colleagues,
This Special Issue examines the convergence of e-health systems and big data analytics, as well as their impact on contemporary healthcare. It welcomes original research, reviews, methodological contributions, and case studies that examine how large-scale data and advanced analytics, such as machine learning and artificial intelligence, are transforming clinical practice, public health, health system management, and personalized care. The scope encompasses multidisciplinary studies that leverage diverse data sources, including electronic health records, medical imaging, wearable devices, genomics, and patient-generated data. Particular emphasis is placed on predictive modeling, decision support systems, data governance, privacy, interoperability, and the integration of AI into clinical workflows. Overall, the Special Issue aims to highlight current trends and future directions in e-health big data, fostering collaboration among researchers, clinicians, data scientists, and policymakers.
Prof. Dr. Moti Zwilling
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 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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences 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 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
- machine learning
- health data analysis
- precision medicine
- e-health
- big data
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
