Berry de Bruijn

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Joel MartinNational Research CouncilVerified email at nrc-cnrc.gc.ca
Svetlana KiritchenkoNational Research Council CanadaVerified email at nrc-cnrc.gc.ca
Colin CherryGoogle ResearchVerified email at google.com
Xiaodan ZhuECE & Ingenuity Labs Research Institute, Queen's University, CanadaVerified email at queensu.ca
Ida SimProfessor of Medicine, UCSF and Co-Founder, Open mHealthVerified email at ucsf.edu
Simona CariniUniversity of California, San FranciscoVerified email at ucsf.edu
Arie Hasmanemeritus Hoogleraar Medische Informatiekunde, University of AmsterdamVerified email at amsterdamumc.nl
Ian DonaldsonAdaptimmuneVerified email at donaldsonresearch.com
Saif M. MohammadSenior Research Scientist, National Research Council CanadaVerified email at nrc-cnrc.gc.ca
Christopher HogueIndependentVerified email at blueprint.org
Gary BaderProfessor of Molecular Genetics and Computer Science, The Donnelly Centre, University of TorontoVerified email at utoronto.ca
Byron WallaceAssociate Professor, Northeastern UniversityVerified email at ccs.neu.edu
Graciela Gonzalez-HernandezDep. of Epidemiology, Biostatistics, and Informatics, Univ of PennsylvaniaVerified email at upenn.edu
M. Hassan MuradMayo ClinicVerified email at mayo.edu
Susan HutflessAssistant Professor, Johns Hopkins UniversityVerified email at jhmi.edu
Tianjing LiDepartment of Ophthalmology, University of Colorado Denver Anschutz Medical CampusVerified email at cuanschutz.edu
Kay DickersinProfessor of Epidemiology, Johns Hopkins Bloomberg School of Public HealthVerified email at jhu.edu
Christopher H SchmidBrown UniversityVerified email at brown.edu
Jesse A BerlinVP, Epidemiology, Janssen Research and DevelopmentVerified email at its.jnj.com
Ian SaldanhaAssistant Professor of Health Services, Policy, and Practice, Brown University School of PublicVerified email at brown.edu

Berry de Bruijn

National Research Council

Verified email at nrc-cnrc.gc.ca

Natural Language Processing Medical Informatics


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PreBIND and Textomy–mining the biomedical literature for protein-protein interactions using a support vector machine I Donaldson, J Martin, B De Bruijn, C Wolting, V Lay, B Tuekam, S Zhang, ... BMC bioinformatics 4 (1), 1-13, 2003	438	2003
Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010 B De Bruijn, C Cherry, S Kiritchenko, J Martin, X Zhu Journal of the American Medical Informatics Association 18 (5), 557-562, 2011	256	2011
Getting to the (c) ore of knowledge: mining biomedical literature B De Bruijn, J Martin International journal of medical informatics 67 (1-3), 7-18, 2002	172	2002
ExaCT: automatic extraction of clinical trial characteristics from journal publications S Kiritchenko, B De Bruijn, S Carini, J Martin, I Sim BMC medical informatics and decision making 10 (1), 1-17, 2010	133	2010
Binary classifiers and latent sequence models for emotion detection in suicide notes C Cherry, SM Mohammad, B De Bruijn Biomedical informatics insights 5, BII. S8933, 2012	56	2012
Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task A Sarker, M Belousov, J Friedrichs, K Hakala, S Kiritchenko, F Mehryary, ... Journal of the American Medical Informatics Association 25 (10), 1274-1283, 2018	54	2018
Automated information extraction of key trial design elements from clinical trial publications B De Bruijn, S Carini, S Kiritchenko, J Martin, I Sim AMIA Annual Symposium Proceedings 2008, 141, 2008	54	2008
A la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge C Cherry, X Zhu, J Martin, B de Bruijn Journal of the American Medical Informatics Association 20 (5), 843-848, 2013	42	2013
Literature mining in molecular biology B De Bruijn, J Martin National Research Council of Canada, 2002	42	2002
Extracting keyphrases from spoken audio documents A Désilets, B de Bruijn, J Martin Workshop on Information Retrieval Techniques for Speech Applications, 36-50, 2001	33	2001
Detecting concept relations in clinical text: Insights from a state-of-the-art model X Zhu, C Cherry, S Kiritchenko, J Martin, B De Bruijn Journal of biomedical informatics 46 (2), 275-285, 2013	29	2013
Automatic SNOMED classification—a corpus-based method LM De Bruijn, A Hasman, JW Arends Computer methods and programs in biomedicine 54 (1-2), 115-122, 1997	29	1997
NRC at i2b2: one challenge, three practical tasks, nine statistical systems, hundreds of clinical records, millions of useful features B de Bruijn, C Cherry, S Kiritchenko, J Martin, X Zhu Proceedings of the 2010 i2b2/VA Workshop on Challenges in Natural Language …, 2010	28	2010
Identifying wrist fracture patients with high accuracy by automatic categorization of X-ray reports B de Bruijn, A Cranney, S O'Donnell, JD Martin, AJ Forster Journal of the American Medical Informatics Association 13 (6), 696-698, 2006	24	2006
NRC-Canada at SMM4H shared task: classifying Tweets mentioning adverse drug reactions and medication intake S Kiritchenko, SM Mohammad, J Morin, B de Bruijn arXiv preprint arXiv:1805.04558, 2018	22	2018
Finding Gene Function using LitMiner B Bruijn, J Martin TREC, 451-459, 2003	21	2003
Complementary approaches to searching MEDLINE may be sufficient for updating systematic reviews M Sampson, B de Bruijn, C Urquhart, K Shojania Journal of clinical epidemiology 78, 108-115, 2016	18	2016
LitMiner: integration of library services within a bio-informatics application J Demaine, J Martin, L Wei, B de Bruijn Biomedical Digital Libraries 3 (1), 1-8, 2006	16	2006
Extracting umls concepts from medical text using general and domain-specific deep learning models KC Fraser, I Nejadgholi, B De Bruijn, M Li, A LaPlante, KZE Abidine arXiv preprint arXiv:1910.01274, 2019	13	2019
Revitalizing the Global Public Health Intelligence Network (GPHIN). D Carter, M Stojanovic, B de Bruijn Online Journal of Public Health Informatics 10 (1), 2018	13	2018

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