Draft:Web3 Journal: ML in Health Science: Difference between revisions
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Revision as of 11:00, 26 January 2024
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Submission declined on 26 January 2024 by DoubleGrazing (talk).
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You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
This draft has not been edited in over six months and qualifies to be deleted per CSD G13. Declined by DoubleGrazing 8 months ago. Last edited by Peronea magna 8 months ago. Reviewer: Inform author.This draft has been resubmitted and is currently awaiting re-review. |  |
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| Discipline | Health Sciences |
|---|---|
| Language | English |
| Edited by | Yury Rusinovich |
| Publication details | |
| History | 2023-present |
| Publisher | |
| Frequency | 2/year |
| Standard abbreviations | |
| ISO 4 | Web3MLHS |
| Indexing | |
| ISSN | 2942-8726 |
| Links | |
Web3 Journal: ML in Health Science, is a peer-reviewed, open-access, and APC-free online medical journal that publishes human-centered Machine Learning and Artificial Intellegence research that enhances human wellbeing and aligns with current health science standards. It is published by "Web3 Society: ML in Health Science". The editor-in-chief is Dr. Yury Rusinovich.
Indexing
The journal is indexed in ISSN 2942-8726[1] German National Library. This journal adopts a unique identification approach for scholarly publishing using Web3 technology. It employs a Smart Contract on blockchain as its unique identifier. Each article published in the journal is authenticated using a unique blockchain transaction hash.
References
- ^ Web3 Journal: ML in health science. Leipzig: ML in Health Science. 2024.
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