Ontologies and Knowledge Discovery in Biomedicine
Vendula Papíková, Academy of Sciences of the Czech Republic - Institute of Computer Science - Department of Medical Informatics, Czech Republic
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Textual document is the predominant way of information communication among scientists. The volume of scientific literature is increasing so fast that it is difﬁcult to retrieve and manage the enormous quantities of published information. Tools for effective and intelligent mining of information from electronic textual databases are being developed recently at all research areas including biomedicine. This work reviews main principals of text analysis tools and shows the key role of biomedical ontologies for automated information extraction, generation of hypotheses, and knowledge discovery. Examples of selected applications are given and briefly described.
Author's professional CV
Vendula Papikova, MD, PhD, graduated at the 1st Medical Faculty of Charles University at Prague. In 1996 she achieved specialization from internal medicine and in 2000 from clinical chemistry. In 2009 she defended her doctoral thesis in the field of Information Science. She worked as physician at several faculty hospitals and as assistant professor at 2nd Department of Medical Chemistry and Biochemistry (nowadays Institute of Biochemistry and Experimental Oncology) of the 1st Medical Faculty of Charles University in Prague. In years 1997 – 1999 she worked as pharmacovigilance and scientific medical information adviser in pharmaceutical company Ferring-Léčiva. In 2001 she passed short time educational internship focused on a diagnostics of inborn errors of metabolism and on evidence-based medicine. Since 2006 till present she works at Department of Medical Informatics, Institute of Computer Sciences, Academy of Sciences of the Czech Republic.