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IFIP Advances in Information and Communication Technology
Current research in biomedical informatics involves analysis of multiple heterogeneous data sets. This includes patient demographics, clinical and pathology data, treatment history, patient outcomes as well as gene expression, DNA sequences and other information sources such as gene ontology. Analysis of these data sets could lead to better disease diagnosis, prognosis, treatment and drug discovery. In this paper, we use machine learning algorithms to create a novel framework to perform thedoi:10.1007/978-1-4419-0221-4_28 fatcat:i5yhlkv5prejtd5np5sdjduhli