Special Issue on Knowledge Discovery in Biomedicine

摘要

Knowledge discovery is the process of discovering new knowledge in large volumes of data. Knowledge discovery methodologies have been widely and successfully adopted in the field of biomedicine to mine and harness big biomedical data. In this special issue, we invited papers concerning the application of knowledge discovery approaches such as classification and prediction, text mining, and information retrieval to biomedical and health related data. The International Journal of Knowledge Discovery in Bioinformatics (IJKDB) is particularly interested in publishing methodological reviews on topics that introduce methodological innovations. At IJKDB, the published articles present topics such as systems biology, protein structure, gene expression, and biological data integration. IJKDB journal presents a cross-disciplinary platform that bridges many sciences for better outcomes.