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Advances in Data Mining for Biomedical Informatics and Healthcare

Edited by:

Nicholas Tatonetti, PhD, Cedars-Sinai Medical Center, United States of America
Jason Moore, PhD, Cedars-Sinai Medical Center, United States of America

Submission Status: Open   |   Submission Deadline: 15 December 2025


Biodata Mining is calling for submissions to our Collection on Advances in Data Mining for Biomedical Informatics and Healthcare. This Collection aims to showcase cutting-edge research and innovative methodologies in the field of data mining, specifically tailored to biomedical informatics and healthcare.

About the Collection

This Collection aims to showcase cutting-edge research and innovative methodologies in the field of data mining, specifically tailored to biomedical informatics and healthcare. As the volume of biomedical data continues to grow exponentially, the need for advanced data mining techniques to extract meaningful insights has never been greater. This Collection will feature contributions that highlight the latest advancements in data mining algorithms, machine learning applications, and big data analytics, all aimed at improving patient outcomes, enhancing precision medicine, and optimizing healthcare systems.

We invite researchers and practitioners to submit their work on topics including, but not limited to:

• Predictive modeling in healthcare
• Data integration and interoperability
• Clinical decision support systems
• Machine learning and artificial intelligence in biomedical research
• Big data analytics for healthcare
• Personalized and precision medicine
• Health informatics and electronic health records
• Genomic and proteomic data mining
• Real-time data processing and analysis
• Privacy and security in healthcare data mining

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submissions of original research and review articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. 

Articles for this Collection should be submitted via our submission system, Snapp. Please, select the appropriate Collection title “Advances in Data Mining for Biomedical Informatics and Healthcare" under the “Details” tab during the submission stage.

Articles will undergo the journal’s standard peer-review process and are subject to all the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer-review process. The peer-review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.