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

Journals

  1. Díez J, Cabrera L, Iglesias P, Benavent M, Argüello G, López G, Parralejo A, Leal J. Prevalencia de cáncer en pacientes con hipotiroidismo: análisis mediante herramientas de big data. Endocrinología, Diabetes y Nutrición 2022 View
  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 2022 View