This paper is in the following e-collection/theme issue:

Natural Language Processing (650) Decision Support for Health Professionals (1147) Electronic Health Records (971) Secondary Use of Clinical Data for Research and Surveillance (326) Clinical Information and Decision Making (1340) Clinical Informatics (919)

Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30345, first published .
Evaluation of Natural Language Processing for the Identification of Crohn Disease–Related Variables in Spanish Electronic Health Records: A Validation Study for the PREMONITION-CD Project

Evaluation of Natural Language Processing for the Identification of Crohn Disease–Related Variables in Spanish Electronic Health Records: A Validation Study for the PREMONITION-CD Project

Evaluation of Natural Language Processing for the Identification of Crohn Disease–Related Variables in Spanish Electronic Health Records: A Validation Study for the PREMONITION-CD Project

Authors of this article:

Carmen Montoto1 Author Orcid Image ;   Javier P Gisbert2, 3, 4, 5 Author Orcid Image ;   Iván Guerra6 Author Orcid Image ;   Rocío Plaza7 Author Orcid Image ;   Ramón Pajares Villarroya8 Author Orcid Image ;   Luis Moreno Almazán9 Author Orcid Image ;   María Del Carmen López Martín10 Author Orcid Image ;   Mercedes Domínguez Antonaya11 Author Orcid Image ;   Isabel Vera Mendoza12 Author Orcid Image ;   Jesús Aparicio1 Author Orcid Image ;   Vicente Martínez1 ;   Ignacio Tagarro1 Author Orcid Image ;   Alonso Fernandez-Nistal1 Author Orcid Image ;   Lea Canales13 Author Orcid Image ;   Sebastian Menke14 Author Orcid Image ;   Fernando Gomollón15, 16, 17, 18 Author Orcid Image ;   PREMONITION-CD Study Group19
Article Authors Cited by (10) Tweetations (12) Metrics

Carmen Montoto   1 , MD, PhD ;   Javier P Gisbert   2, 3, 4, 5 , MD, PhD ;   Iván Guerra   6 , MD, PhD ;   Rocío Plaza   7 , MD ;   Ramón Pajares Villarroya   8 , MD ;   Luis Moreno Almazán   9 , MD ;   María Del Carmen López Martín   10 , MD ;   Mercedes Domínguez Antonaya   11 , MD ;   Isabel Vera Mendoza   12 , MD, PhD ;   Jesús Aparicio   1 , PhD ;   Vicente Martínez   1 , MD, PhD ;   Ignacio Tagarro   1 , PhD ;   Alonso Fernandez-Nistal   1 , PhD ;   Lea Canales   13 , PhD ;   Sebastian Menke   14 , PhD ;   Fernando Gomollón   15, 16, 17, 18 , MD, PhD ;   PREMONITION-CD Study Group   19

1 Takeda Farmacéutica España S.A., Madrid, Spain

2 Hospital Universitario de La Princesa, Madrid, Spain

3 Instituto de Investigación Sanitaria Princesa (IIS-IP), Madrid, Spain

4 Universidad Autónoma de Madrid, Madrid, Spain

5 Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain

6 Hospital Universitario de Fuenlabrada, Madrid, Spain

7 Hospital Universitario Infanta Leonor, Madrid, Spain

8 Hospital Universitario Infanta Sofía, Madrid, Spain

9 Hospital Universitario HM Montepríncipe, Madrid, Spain

10 Hospital Universitario Infanta Elena, Madrid, Spain

11 Hospital Universitario Rey Juan Carlos, Madrid, Spain

12 Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain

13 Department of Software and Computing System, University of Alicante, Alicante, Spain

14 MedSavana SL, Madrid, Spain

15 Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain

16 Instituto de Investigación Sanitaria Aragón (IISA), Zaragoza, Spain

17 Universidad de Zaragoza, Zaragoza, Spain

18 Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Zaragoza, Spain

19 See Acknowledgements, Madrid, Spain

Corresponding Author: