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

Natural Language Processing (692) Decision Support for Health Professionals (1185) Electronic Health Records (1053) Secondary Use of Clinical Data for Research and Surveillance (366) Clinical Information and Decision Making (1407) Clinical Informatics (1022)

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 (11) Tweetations (12) Metrics

Journals

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  2. Hens D, Wyers L, Claeys K. Validation of an Artificial Intelligence driven framework to automatically detect red flag symptoms in screening for rare diseases in electronic health records: hereditary transthyretin amyloidosis polyneuropathy as a key example. Journal of the Peripheral Nervous System 2023;28(1):79 View
  3. Calleja Panero J, de la Poza G, Hidalgo L, Aguilera Sancho-Tello M, Torras X, Santos de Lamadrid R, Maté C, Sánchez Antolín G. Patient journey of individuals tested for HCV in Spain: LiverTAI, a retrospective analysis of EHRs through natural language processing. Gastroenterología y Hepatología 2023;46(7):491 View
  4. Calleja-Panero J, Esteban Mur R, Jarque I, Romero-Gómez M, Group S, García Labrador L, González Calvo J. Chronic liver disease-associated severe thrombocytopenia in Spain: Results from a retrospective study using machine learning and natural language processing. Gastroenterología y Hepatología 2024;47(3):236 View
  5. Díez J, Cabrera L, Iglesias P, Benavent M, Argüello G, López G, Parralejo A, Leal J. Prevalence of cancer in patients with hypothyroidism: Analysis using big data tools. Endocrinología, Diabetes y Nutrición (English ed.) 2023;70:50 View
  6. Calleja Panero J, de la Poza G, Hidalgo L, Aguilera Sancho-Tello M, Torras X, Santos de Lamadrid R, Maté C, Sánchez Antolín G. Patient journey of individuals tested for HCV in Spain: LiverTAI, a retrospective analysis of EHRs through natural language processing. Gastroenterología y Hepatología (English Edition) 2023;46(7):491 View
  7. Benavent D, Muñoz-Fernández S, De la Morena I, Fernández-Nebro A, Marín-Corral J, Castillo Rosa E, Taberna M, Sanabra C, Sastre C. Using natural language processing to explore characteristics and management of patients with axial spondyloarthritis and psoriatic arthritis treated under real-world conditions in Spain: SpAINET study. Therapeutic Advances in Musculoskeletal Disease 2023;15 View
  8. Silverman A, Bhasuran B, Mosenia A, Yasini F, Ramasamy G, Banerjee I, Gupta S, Mardirossian T, Narain R, Sewell J, Butte A, Rudrapatna V. Accurate, Robust, and Scalable Machine Abstraction of Mayo Endoscopic Subscores From Colonoscopy Reports. Inflammatory Bowel Diseases 2024 View
  9. Calleja-Panero J, Esteban Mur R, Jarque I, Romero-Gómez M, Group S, García Labrador L, González Calvo J. Chronic liver disease-associated severe thrombocytopenia in Spain: Results from a retrospective study using machine learning and natural language processing. Gastroenterología y Hepatología (English Edition) 2024;47(3):236 View
  10. Antón M, Molina M, Pérez J, Pina S, Tapiador N, De La Calle B, Martínez M, Ortega P, Ruspaggiari M, Tudela C, Conejo M, Leno P, López M, Marhuenda C, Arias-Cabrales C, Maisonobe P, Herrera A, Candau E. Botulinum Toxin Type A (BoNT-A) Use for Post-Stroke Spasticity: A Multicenter Study Using Natural Language Processing and Machine Learning. Toxins 2024;16(8):340 View