Berry de Bruijn

发表

Detecting concept relations in clinical text: Insights from a state-of-the-art model

Joel D. Martin, Berry de Bruijn, Svetlana Kiritchenko, 2013, J. Biomed. Informatics.

Finiding Gene Function using LitMiner

Joel D. Martin, Berry de Bruijn, 2003, TREC.

ExaCT: automatic extraction of clinical trial characteristics from journal publications

Joel D. Martin, Berry de Bruijn, Svetlana Kiritchenko, 2010, BMC Medical Informatics Decis. Mak..

Case Report: Identifying Wrist Fracture Patients with High Accuracy by Automatic Categorization of X-ray Reports

Joel D. Martin, Berry de Bruijn, Alan J. Forster, 2006, J. Am. Medical Informatics Assoc..

À la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge

Joel D. Martin, Berry de Bruijn, Colin Cherry, 2013, J. Am. Medical Informatics Assoc..

Recognizing UMLS Semantic Types with Deep Learning

Berry de Bruijn, Kathleen C. Fraser, Isar Nejadgholi, 2019, LOUHI@EMNLP.

Classification of diagnoses that are described in natural language

Berry de Bruijn, A. Hasman, J. W. Arends, 1999 .

Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010

Joel D. Martin, Berry de Bruijn, Svetlana Kiritchenko, 2011, J. Am. Medical Informatics Assoc..

Revisiting the Area Under the ROC

Berry de Bruijn, 2011, MIE.

Supporting the classification of pathology reports: comparing two information retrieval methods

Berry de Bruijn, Arie Hasman, Jan Willem Arends, 2000, Comput. Methods Programs Biomed..

Getting to the (c)ore of knowledge: mining biomedical literature

Joel D. Martin, Berry de Bruijn, B. Bruijn, 2002, Int. J. Medical Informatics.

Extracting Sentences To Justify Categorization.

Ian M. Donaldson, Joel D. Martin, Berry de Bruijn, 2001 .

Automated Information Extraction of Key Trial Design Elements from Clinical Trial Publications

Joel D. Martin, Berry de Bruijn, Svetlana Kiritchenko, 2008, AMIA.

NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake

Berry de Bruijn, Saif Mohammad, Svetlana Kiritchenko, 2018, SMM4H@AMIA.

Global Public Health Surveillance using Media Reports: Redesigning GPHIN

Berry de Bruijn, Marta Stojanovic, Yunli Wang, 2020, MIE.

Literature mining in molecular biology

Joel D. Martin, Berry de Bruijn, Joel Martin, 2002 .

Haystacks and hypotheses

Joel D. Martin, Berry de Bruijn, Jeffrey Demaine, 2003, ASIST.

An Automated Method for Studying Interactive Systems

Berry de Bruijn, Robert C. Holte, Joel Martin, 1999 .

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

Berry de Bruijn, Goran Nenadic, Saif Mohammad, 2018, J. Am. Medical Informatics Assoc..

Extracting Keyphrases from Spoken Audio Documents

Joel D. Martin, Berry de Bruijn, Alain Désilets, 2001, SIGIR Workshop: Information Retrieval Techniques for Speech Applications.

Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience pdf

Berry de Bruijn, Kathleen C. Fraser, Isar Nejadgholi, 2020, BIONLP.

PreBIND and Textomy – mining the biomedical literature for protein-protein interactions using a support vector machine

Joel D. Martin, Berry de Bruijn, Gary D Bader, 2003, BMC Bioinformatics.

Recognizing UMLS Semantic Types with Deep Learning pdf

Berry de Bruijn, Kathleen C. Fraser, Isar Nejadgholi, 2019, EMNLP.

ExaCT: automatic extraction of clinical trial characteristics from journal publications

Joel D. Martin, Berry de Bruijn, Simona Carini, 2010, BMC Medical Informatics Decis. Mak..

Global Public Health Surveillance using Media Reports: Redesigning GPHIN

Berry de Bruijn, B. Bruijn, Yunli Wang, 2020, MIE.