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International Journal of Biomedical Data Mining

Open Access
 
 
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About the Journal

The International Journal of Biomedical Data Mining (JBDM) is a scholarly open access, peer-reviewed, and fully refereed journal which publishes original research papers on valuable algorithms, methods and software tools in the fields of data mining, knowledge discovery, data analysis and machine learning, and their application to compelling biomedical, healthcare and bioinformatics problems. Contributions will come from disciplines such as computer science, engineering, statistics, biomedical informatics, science and mathematics. Papers will present original research in the field, highlighting methodological aspects and providing experimental evidence of their effectiveness on specific problems and all aspects of data mining applied to high-dimensional biological and biomedical data. This perspective acknowledges the inter-disciplinary nature of research in data mining and bioinformatics and provides a unified forum for researchers/practitioners/students/policy makers to share the latest research and developments in this fast growing multi-disciplinary research area. Comprehensive review articles, short papers and book and software reviews are also welcome.
 
Aims and Scope
 

Recently published articles

Intraductal Carcinoma of the Prostate Diagnosed by Multi-Parametric Prostate Magnetic Resonance Imaging (MRI) and MRI/Ultrasound Fusion-Guided Biopsy

Ardeshir R Rastinehad, Mathew Fakhoury, Simpa S Salami, Oksana Yaskiv, Omid Rofeim, Robert Villani, Eran Ben-Levi

 
Genomic Sequence Analysis of Chromosomal Translocation Breakpoints in Leukemia: “A Computational Approach”

Rakesh Rawal, Shanaya Patel, Krupa Shah, Aditi Mundra, Valentina Umrania, Afzal Ansari and Medha Dave

 
 
 
 
 
 
 
 
 
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