About the Journal
International Journal of Applied Data Science in Engineering and Health (IJADSEH) is a peer-reviewed, open-access journal focusing on theoretical background and advanced data science approaches in various sciences including engineering and medicine. IJADSEH is a pioneering publication dedicated to advancing the integration of data science methodologies in engineering and healthcare domains. With a focus on practical applications, the journal serves as a platform for researchers, practitioners, and professionals to disseminate cutting-edge research findings, innovative methodologies, and transformative insights. By bridging the gap between data science and these critical sectors, the journal aims to foster interdisciplinary collaboration, accelerate technological advancements, and ultimately improve societal well-being. Through rigorous peer review and a commitment to scholarly excellence, the journal strives to be a leading source of knowledge and inspiration for scholars, industry experts, policymakers, and stakeholders invested in the intersection of data science, engineering, and health.
Google Scholar indexes the full text of scholarly literature published by the International Journal of Applied Data Science in Engineering and Health.
Online ISSN: 3065-0054.
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- Title proper: International Journal of Applied Data Science in Engineering and Health.
- Abbreviated key-title: IJADSEH.
- Subject: data science algorithms and advanced methods in engineering and medicine.
- Publisher: Maysam Orouskhani
- Affiliation: Staff Scientist, Fred Hutch Cancer Center, USA
- Frequency: bimonthly
- Type of resource: Periodical
- Language: English
- Place of Publication: Seattle, WA, United States of America
Journal’s Scope
The International Journal of Applied Data Science in Engineering and Health (IJADSEH) aims to establish a conducive platform for the evaluation, advancement, and dissemination of cutting-edge scientific breakthroughs in fields pertinent to data science and its utilization across engineering, medicine, and health domains. Encompassing areas such as artificial intelligence, data mining, information retrieval, big data, machine learning, deep learning, natural language processing, statistical analysis, pattern recognition, and soft computing, the journal endeavors to foster research excellence and innovation in these interdisciplinary realms.
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Plagiarism Policy
Respecting intellectual property rights stands as a fundamental value within the SAP's Codes of Ethics. Plagiarism, which involves misrepresenting ideas, words, computer code, or other creative works as one's own, violates these ethical principles unequivocally. It can also constitute a breach of copyright law, subject to legal penalties. Plagiarism takes various forms, including direct copying, close paraphrasing, or improper citation of another author's work. Self-plagiarism, the reuse of significant portions of one's own copyrighted material without proper citation, is also addressed here. The journal employs Turnitin software to detect plagiarism, reinforcing its commitment to upholding the highest standards of academic integrity.Peer Review
The journal utilizes a double-blind review process, ensuring anonymity for both authors and reviewers. Following an initial evaluation by the editor to assess suitability, submissions meeting the criteria are forwarded to at least two independent expert reviewers for thorough evaluation of scientific quality. Ultimately, the Editor holds the authority to make the final decision on acceptance or rejection of articles, which is binding. Authors whose papers are rejected are kindly requested not to submit modified versions for reconsideration, as they will not be reviewed for publication.Ethical Principles
Authors:
Authors are responsible for ensuring that their submitted articles meet the standards of academic contribution. Originality and research-based content are imperative. Co-authors listed must have made genuine contributions to the research. It is unethical to include individuals who have not contributed academically as co-authors or to prioritize co-authors based on non-academic criteria such as title, age, or gender. Citations and references should be thorough and accurate.Referees:
Referees play a crucial role in determining the academic quality of articles for publication and should approach their evaluation with this awareness. They should only review articles within their area of expertise and commit to maintaining confidentiality in double-blind peer review. Referees should ensure the confidentiality of article details at all times.Editorial Board:
Editors are tasked with assessing articles that align with the journal's scope for potential contribution to the field. They must avoid conflicts of interest with accepted or rejected articles and refrain from exploiting them for personal gain.Open Access Statement
This journal operates under an open access model, ensuring that all content is accessible to users without any fees or restrictions. Readers are permitted to freely read, download, copy, distribute, print, search, or link to the full texts of articles for lawful purposes without needing prior permission from the publisher or author. This policy aligns with the BOAI definition of open access.
Copyright Notice
IJADSEH adheres to the guidelines established by the International Committee on Publication Ethics (COPE). The ethical standards for article publication in this journal are formulated based on COPE regulations, and any issues are addressed accordingly within these guidelines.
In essence, authors retain the copyright for their articles, while granting the journal first publication rights. Articles published in this open access journal are freely accessible and can be utilized in educational, commercial, and non-commercial contexts, provided proper attribution and a link to the licensing are included.
Repository Policy
Authors are granted permission to archive all iterations of their work, comprising the submitted version, the accepted version (Author Accepted Manuscript), or the Published version (Version of Record), in an institutional or alternative repository of their preference without any embargo period.
Publication Fee
There is no charge for article publishing processing (APC).