Cyril Grouin
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Explore the profile of Cyril Grouin including associated specialties, affiliations and a list of published articles.
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26
Citations
205
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Recent Articles
11.
Neveol A, Cohen K, Grouin C, Hamon T, Lavergne T, Kelly L, et al.
CEUR Workshop Proc
. 2018 Jan;
1609:28-42.
PMID: 29308065
This paper reports on Task 2 of the 2016 CLEF eHealth evaluation lab which extended the previous information extraction tasks of ShARe/CLEF eHealth evaluation labs. The task continued with named...
12.
Rosier A, Mabo P, Temal L, Van Hille P, Dameron O, Deleger L, et al.
Stud Health Technol Inform
. 2016 Apr;
221:59-63.
PMID: 27071877
The number of patients that benefit from remote monitoring of cardiac implantable electronic devices, such as pacemakers and defibrillators, is growing rapidly. Consequently, the huge number of alerts that are...
13.
Rosier A, Mabo P, Temal L, Van Hille P, Dameron O, Deleger L, et al.
Europace
. 2015 Oct;
18(3):347-52.
PMID: 26487670
Aims: Remote monitoring of cardiac implantable electronic devices is a growing standard; yet, remote follow-up and management of alerts represents a time-consuming task for physicians or trained staff. This study...
14.
Lavergne T, Grouin C, Zweigenbaum P
BMC Bioinformatics
. 2015 Jul;
16 Suppl 10:S6.
PMID: 26201352
Background: The acquisition of knowledge about relations between bacteria and their locations (habitats and geographical locations) in short texts about bacteria, as defined in the BioNLP-ST 2013 Bacteria Biotope task,...
15.
Abbe A, Grouin C, Zweigenbaum P, Falissard B
Int J Methods Psychiatr Res
. 2015 Jul;
25(2):86-100.
PMID: 26184780
The expansion of biomedical literature is creating the need for efficient tools to keep pace with increasing volumes of information. Text mining (TM) approaches are becoming essential to facilitate the...
16.
Grouin C, Moriceau V, Zweigenbaum P
J Biomed Inform
. 2015 Jul;
58 Suppl:S133-S142.
PMID: 26142870
Background: The determination of risk factors and their temporal relations in natural language patient records is a complex task which has been addressed in the i2b2/UTHealth 2014 shared task. In...
17.
Grouin C, Neveol A
J Biomed Inform
. 2014 Jan;
50:151-61.
PMID: 24380818
Background: To facilitate research applying Natural Language Processing to clinical documents, tools and resources are needed for the automatic de-identification of Electronic Health Records. Objective: This study investigates methods for...
18.
Zweigenbaum P, Lavergne T, Grabar N, Hamon T, Rosset S, Grouin C
Biomed Inform Insights
. 2013 Sep;
6(Suppl 1):51-62.
PMID: 24052691
Medical entity recognition is currently generally performed by data-driven methods based on supervised machine learning. Expert-based systems, where linguistic and domain expertise are directly provided to the system are often...
19.
Grouin C, Zweigenbaum P
Stud Health Technol Inform
. 2013 Aug;
192:476-80.
PMID: 23920600
In this paper, we present a comparison of two approaches to automatically de-identify medical records written in French: a rule-based system and a machine-learning based system using a conditional random...
20.
Grouin C, Grabar N, Hamon T, Rosset S, Tannier X, Zweigenbaum P
J Am Med Inform Assoc
. 2013 Apr;
20(5):820-7.
PMID: 23571851
Objective: To identify the temporal relations between clinical events and temporal expressions in clinical reports, as defined in the i2b2/VA 2012 challenge. Design: To detect clinical events, we used rules...