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International Journal of Biomedical Data Mining

 
Open Access, Peer-reviewed
 
E-ISSN: 2090-4924, P-ISSN: 2090-4916
 
 
 
HOME » OPEN-ACCESS » BIOMEDICAL-DATA-MINING
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About the Journal

Guozhu Dong Editor-in-Chief
Guozhu Dong

Professor and Director, Data Mining Research Lab
Department of Computer Science and Engineering
Wright State University
USA
 
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.
 
 

Recently published articles

Likelihood Ratio Test of Hardy-Weinberg Equilibrium Using Uncertain Genotypes for Sibship Data
 
Data Inventory for Cancer Patients Receiving Radiotherapy for Outcome Analysis and Modeling

Jason Vickress, Rob Barnett and Slav Yartsev

 
Editorial for International Journal of biomedical Data Mining

Guozhu Dong

 
 
 
 
 
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