International Journal of Biomedical Data Mining
Open Access

About the Journal

Biomedical is the application of the natural sciences, especially the biological and physiological sciences, to clinical medicine. It is all that studies the technological and engineering applications of living and biological systems. Right from the lowest unit ‘Cell’ to the most complex nervous system that processes and controls the information, all the organs of living beings function with a perfect coordination so that they could digest, reproduce, grow, respond to various stimuli. Research in the field of Medical, biomedical engineering and technology are further enhancing our understanding about this discipline and unfolding variety of opportunities for the experts to design innovative technical intervention that would offer easy and automated solutions to various biomedical problems.

International Journal of Biomedical Data Mining is an interdisciplinary Biomedical system and technology journal that deals with various aspects of the field such as medical science, innovative emerging technologies, with an emphasis on biotechnology, bioengineering with their artificial manipulation and systems.

International Journal of Biomedical Data Mining open access is a peer reviewed journal for world class impact on the research work which includes Data mining, Artificial intelligence, Proteomics, Sequencing, Bioinformatics, Machine Learning, Data Analysis, Medical Informatics, Biostatistics and Clinical Informatics, system biology, protein sequencing,Transactions on Knowledge, Data Engineering etc. Among all Biomedical technology journals, International Journal of Biomedical Data Mining having a good reach to researchers and scientific world. International Journal of Biomedical Data Mining is an academic journal that encompasses a wide range of current research under the scope of the journal which aims to offer a promising platform for the authors to make their valuable contributions towards the journal. The editorial office follows peer review process of the manuscripts to ensure the quality of publishing.

International Journal of Biomedical Data Mining is the best open access journals that publish the most comprehensive, relevant and reliable information based on the current research and development in the field in the form of original articles, review articles, case reports, short communications, etc. in the journal which is freely available without any restrictions or any other subscriptions for researchers all over the world.

Fast Editorial Review Process

International Journal of Biomedical Data Mining is participating in the Fast Editorial Execution and Review Process (FEE-Review Process) with an additional prepayment of $99 apart from the regular article processing fee. Fast Editorial Execution and Review Process is a special service for the article that enables it to get a faster response in the pre-review stage from the handling editor as well as a review from the reviewer. An author can get a faster response of pre-review maximum in 3 days since submission, and a review process by the reviewer maximum in 5 days, followed by revision/publication in 2 days. If the article gets notified for revision by the handling editor, then it will take another 5 days for external review by the previous reviewer or alternative reviewer.

Acceptance of manuscripts is driven entirely by handling editorial team considerations and independent peer-review, ensuring the highest standards are maintained no matter the route to regular peer-reviewed publication or a fast editorial review process. The handling editor and the article contributor are responsible for adhering to scientific standards. The article FEE-Review process of $99 will not be refunded even if the article is rejected or withdrawn for publication.

The corresponding author or institution/organization is responsible for making the manuscript FEE-Review Process payment. The additional FEE-Review Process payment covers the fast review processing and quick editorial decisions, and regular article publication covers the preparation in various formats for online publication, securing full-text inclusion in a number of permanent archives like HTML, XML, and PDF, and feeding to different indexing agencies.