Published on in Vol 9 , No 5 (2021) :May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23586, first published .
Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study

Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study

Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study

Journals

  1. Prud'hommeaux E, Collins J, Booth D, Peterson K, Solbrig H, Jiang G. Development of a FHIR RDF data transformation and validation framework and its evaluation. Journal of Biomedical Informatics 2021;117:103755 View
  2. González-Castro L, Cal-González V, Del Fiol G, López-Nores M. CASIDE: A data model for interoperable cancer survivorship information based on FHIR. Journal of Biomedical Informatics 2021;124:103953 View
  3. Duda S, Kennedy N, Conway D, Cheng A, Nguyen V, Zayas-Cabán T, Harris P. HL7 FHIR-based tools and initiatives to support clinical research: a scoping review. Journal of the American Medical Informatics Association 2022;29(9):1642 View
  4. Xiao G, Pfaff E, Prud'hommeaux E, Booth D, Sharma D, Huo N, Yu Y, Zong N, Ruddy K, Chute C, Jiang G. FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model. Journal of Biomedical Informatics 2022;134:104201 View
  5. He T, Belouali A, Patricoski J, Lehmann H, Ball R, Anagnostou V, Kreimeyer K, Botsis T. Trends and opportunities in computable clinical phenotyping: A scoping review. Journal of Biomedical Informatics 2023;140:104335 View