Dr. Harsha Gurulingappa
Dr. Harsha Gurulingappa
Merck KGaA
Verified email at merckgroup.com
Cited by
Cited by
Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports
H Gurulingappa, AM Rajput, A Roberts, J Fluck, M Hofmann-Apitius, ...
Journal of biomedical informatics 45 (5), 885-892, 2012
Extraction of Adverse Drug Effects from Medical Case Reports
H Gurulingappa, AM Rajput, L Toldo
International Conference on Biomedical Ontology (ICBO), 1-4, 2012
‘HypothesisFinder:’a strategy for the detection of speculative statements in scientific text
A Malhotra, E Younesi, H Gurulingappa, M Hofmann-Apitius
PLoS Comput Biol 9 (7), e1003117, 2013
An empirical evaluation of resources for the identification of diseases and adverse effects in biomedical literature
H Gurulingappa, R Klinger, M Hofmann-Apitius, J Fluck
2nd Workshop on Building and evaluating resources for biomedical text mining …, 2010
Automatic detection of adverse events to predict drug label changes using text and data mining techniques
H Gurulingappa, L Toldo, AM Rajput, JA Kors, A Taweel, Y Tayrouz
Pharmacoepidemiology and drug safety 22 (11), 1189-1194, 2013
Identification of adverse drug event assertive sentences in medical case reports
H Gurulingappa, J Fluck, M Hofmann-Apitius, L Toldo
First international workshop on knowledge discovery and health care …, 2011
Semi-Supervised Information Retrieval System for Clinical Decision Support
H Gurulingappa, A Bauer, L Toldo, C Schepers, G Megaro
The Twenty-Fifth Text Retrieval Conference (TREC 2016) Proceedings, 2017
Concept-based semi-automatic classification of drugs
H Gurulingappa, C Kolárik, M Hofmann-Apitius, J Fluck
Journal of chemical information and modeling 49 (8), 1986-1992, 2009
A Semantic Platform for Information Retrieval from E-Health Records.
H Gurulingappa, B Müller, M Hofmann-Apitius, J Fluck
TREC, 2011
Challenges in mining the literature for chemical information
H Gurulingappa, A Mudi, L Toldo, M Hofmann-Apitius, J Bhate
Rsc Advances 3 (37), 16194-16211, 2013
Concept identification and assertion classification in patient health records
H Gurulingappa, M Hofmann-Apitius, J Fluck
Proceedings of the 2010 i2b2/VA Workshop on Challenges in Natural Language …, 2010
Patent Retrieval in Chemistry based on semantically tagged Named Entities
H Gurulingappa, B Müller, R Klinger, HT Mevissen, M Hofmann-Apitius, ...
The eighteenth text RETrieval conference (TREC 2009) Proceedings, 2009
Overview of the TREC 2011 Chemical IR Track.
M Lupu, J Zhao, J Huang, H Gurulingappa, J Fluck, M Zimmermann, ...
TREC, 2011
Automated identification of adverse events from case reports using machine learning
L Toldo, S Bhattacharya, H Gurulingappa
Workshop on Computational Methods in Pharmacovigilance, 2012
Abstracts versus full texts and patents: a quantitative analysis of biomedical entities
B Müller, R Klinger, H Gurulingappa, HT Mevissen, M Hofmann-Apitius, ...
Information Retrieval Facility Conference, 152-165, 2010
Prior Art Search in Chemistry Patents Based On Semantic Concepts and Co-Citation Analysis.
H Gurulingappa, B Müller, R Klinger, HT Mevissen, M Hofmann-Apitius, ...
TREC, 2010
Semi-automatic approach for ontology enrichment using umls
AM Rajput, H Gurulingappa
Procedia Computer Science 23, 78-83, 2013
Mining the medical and patent literature to support healthcare and pharmacovigilance
H Gurulingappa
Universitäts-und Landesbibliothek Bonn, 2012
Information Retrieval Framework for Technology Survey in Biomedical and Chemistry Literature.
H Gurulingappa, B Müller, M Hofmann-Apitius, J Fluck
TREC, 2011
Identification of pharmacodynamic biomarker hypotheses through literature analysis with IBM Watson
S Hatz, S Spangler, A Bender, M Studham, P Haselmayer, AMB Lacoste, ...
PloS one 14 (4), e0214619, 2019
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