Published on in Vol 7, No 1 (2019): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11487, first published .
SNOMED CT Concept Hierarchies for Computable Clinical Phenotypes From Electronic Health Record Data: Comparison of Intensional Versus Extensional Value Sets

SNOMED CT Concept Hierarchies for Computable Clinical Phenotypes From Electronic Health Record Data: Comparison of Intensional Versus Extensional Value Sets

SNOMED CT Concept Hierarchies for Computable Clinical Phenotypes From Electronic Health Record Data: Comparison of Intensional Versus Extensional Value Sets

Journals

  1. Hajizadeh A, Lotfi T, Falzon D, Mertz D, Nieuwlaat R, Gebreselassie N, Jaramillo E, Korobitsyn A, Zignol M, Mirzayev F, Ismail N, Brozek J, Loeb M, Piggott T, Darzi A, Wang Q, Mahmood A, Saroey P, Matthews M, Schünemann F, Dietl B, Nowak A, Kulesza K, Muti-Schünemann G, Bognanni A, Charide R, Akl E, Kasaeva T, Schünemann H. Recommendation mapping of the World Health Organization's guidelines on tuberculosis: A new approach to digitizing and presenting recommendations. Journal of Clinical Epidemiology 2021 View
  2. Chandra A, Philips S, Pandey A, Basit M, Kannan V, Sara E, Das S, Lee S, Haley B, Willett D, Zaha V. Electronic Health Records-Based Cardio-Oncology Registry for Care Gap Identification and Pragmatic Research: Procedure and Observational Study (Preprint). JMIR Cardio 2020 View