Our research projects are focused on developing techniques for large-scale extraction and management of un- and semi-structured textual resources. We focus on: Health-related information synthesis Synthesis of information from unstructured electronic health-care records, patient narratives and literature to support clinical decision support please doing paper for me Clinical documentation, text…
PathNER: A tool for systematic identification of biological pathway mentions in the literature
Logical models of DNA damage induced pathways to cancer
bioNerDS: exploring bioinformatics’ database and software use through literature mining
BioContext: an integrated text mining system for large-scale extraction and contextualization of biomolecular events
Natural Language Processing for Clinical Data: Continuous Success at i2b2 Challenges
2011 – This year we took again part in the annual i2b2 shared task, an international text mining challenge in the clinical/health-care domain. The team composed of members from University of Novi Sad (Kovacevic, A.) and University of Manchester (Dehghan, A., Nenadic G. and Keane, J.). The aim of the challenge…