About the Journal
✍️ Write the new chapter of healthcare research with us!
HISTORY
This journal was created on January 12, 2024, as an experimental project during the writing of the Master of Health Business Administration diploma paper by the Editor-in-Chief.
AIM AND SCOPE
Web3 Journal: ML in Health Science is a peer-reviewed online journal that publishes research on AI, machine learning, e-health, the metaverse, and Web3 technologies that enhance human well-being and comply with current healthcare standards.
The journal welcomes submissions on:
- Numerical machine learning models built on healthcare research data.
- Computer vision models based on medical imaging.
- Custom generative AI models designed for healthcare settings.
- Metaverse applications for disease treatment or education within healthcare.
- Web3 utilization in healthcare, such as data storage and processing.
- DeFi solutions within healthcare.
TARGET AUDIENCE
The primary target audience of the journal includes healthcare stakeholders (patients and industry), IT developers, and healthcare professionals.
ACCESS AND FEES
The journal is published as Diamond Open Access
Any article published in the journal is available without any fees.
However, we welcome investments in the governance token MLHS and donations to our Web3 wallet in any cryptocurrency.
PEER REVIEW
The primary focus of the peer review is to assess, from the perspective of healthcare professionals, the implications of digital technologies within healthcare settings, with particular attention to practical integration, patient safety, ethical considerations, and data privacy.
The peer review is based on recommendations for authors and their projects, which the editorial board regularly updates to ensure continuous improvement.
The peer review process is partially blind: the authors are fully disclosed, while the reviewers remain anonymous.
COPYRIGHT
All accepted articles are published immediately after production, ensuring quick access and immediate citation for authors and readers. The content is freely and unrestrictedly available to everyone under the CC BY-SA 4.0 license.
Authors retain the copyright and full publishing rights without restrictions. Our journal allows authors the flexibility to deposit versions of their work in an institutional or other repository of their choice, supporting wider dissemination and accessibility of their research.
PUBLISHING SHEDULE
The journal publishes one issue per year, with the exception of the inaugural issue, which was published outside the regular schedule.
INDEXING AND ARCHIVING
ML in Health Science is a member of Crossref. All publications are assigned DOIs and are automatically listed on the following platforms:
- WorldCat
- Scilit
- ResearchGate
- ORCID
etc...
The journal content is automatically preserved in the PKP Preservation Network.
LANGUAGE
The submission and publication language is English only. Authors may include a version of the manuscript in a language other than English as supplementary material. If the manuscript is accepted and published, this additional version will be assigned the same DOI.
For authors submitting papers in languages other than English, we recommend utilizing the professional translation services provided by Lingrowth, an international language service provider specializing in medical and life science translations. A discount is available if the purpose of the translation is specified as publication in this journal.
EDITING OF PUBLISHED ARTICLES
We allow editing of published content. Minor edits will be performed within the same version and DOI of publication. Major edits will be performed within the same DOI, with the new version superseding the previous one. Authors should contact the editorial board to request editing of their published papers.
For any inquiries or further assistance, please contact us via email or through the contact form:
info@mlhs.ink
