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

Machine Learning (1693) Clinical Information and Decision Making (1608) Electronic Health Records (1158) Innovations and Technology in Cancer Care (457) Decision Support for Health Professionals (1325) Secondary Use of Clinical Data for Research and Surveillance (412) Precision Medicine (95) Precision Medicine and Genetics (58)

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

Authors of this article:

Nansu Zong1 Author Orcid Image ;   Victoria Ngo2 Author Orcid Image ;   Daniel J Stone1 Author Orcid Image ;   Andrew Wen1 Author Orcid Image ;   Yiqing Zhao1 Author Orcid Image ;   Yue Yu1 Author Orcid Image ;   Sijia Liu1 Author Orcid Image ;   Ming Huang1 Author Orcid Image ;   Chen Wang1 Author Orcid Image ;   Guoqian Jiang1 Author Orcid Image
Article Authors Cited by (16) Tweetations (3) Metrics

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
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  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
  6. Bazoge A, Morin E, Daille B, Gourraud P. Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review. JMIR Medical Informatics 2023;11:e42477 View
  7. Borna S, Maniaci M, Haider C, Maita K, Torres-Guzman R, Avila F, Lunde J, Coffey J, Demaerschalk B, Forte A. Artificial Intelligence Models in Health Information Exchange: A Systematic Review of Clinical Implications. Healthcare 2023;11(18):2584 View
  8. Figueiredo E, Rosa F, Zanetti R, Dametto M, Bonacin R. Semântica em prontuários eletrônicos para oncologia pediátrica: uma revisão integrativa. Journal of Health Informatics 2023;15(2):61 View
  9. Amar F, April A, Abran A. Electronic Health Record and Semantic Issues Using Fast Healthcare Interoperability Resources: Systematic Mapping Review. Journal of Medical Internet Research 2024;26:e45209 View
  10. Oss Boll H, Amirahmadi A, Ghazani M, Morais W, Freitas E, Soliman A, Etminani F, Byttner S, Recamonde-Mendoza M. Graph neural networks for clinical risk prediction based on electronic health records: A survey. Journal of Biomedical Informatics 2024;151:104616 View
  11. Gazzarata R, Almeida J, Lindsköld L, Cangioli G, Gaeta E, Fico G, Chronaki C. HL7 Fast Healthcare Interoperability Resources (HL7 FHIR) in digital healthcare ecosystems for chronic disease management: Scoping review. International Journal of Medical Informatics 2024;189:105507 View
  12. Tabari P, Costagliola G, De Rosa M, Boeker M. State-of-the-Art Fast Healthcare Interoperability Resources (FHIR)–Based Data Model and Structure Implementations: Systematic Scoping Review. JMIR Medical Informatics 2024;12:e58445 View
  13. Pavão J, Bastardo R, Rocha N. A systematic review of the use of FHIR to support clinical research, public health and medical education. Data Technologies and Applications 2025;59(1):134 View
  14. Hancox Z, Pang A, Conaghan P, Kingsbury S, Clegg A, Relton S. A systematic review of networks for prognostic prediction of health outcomes and diagnostic prediction of health conditions within Electronic Health Records. Artificial Intelligence in Medicine 2024;158:102999 View
  15. Zhang H, Lin C, Chen Y, Shen X, Wang R, Chen Y, Lyu J. Enhancing Molecular Network‐Based Cancer Driver Gene Prediction Using Machine Learning Approaches: Current Challenges and Opportunities. Journal of Cellular and Molecular Medicine 2025;29(1) View

Conference Proceedings

  1. Miranda N, Machado M, Moreira D. Anais Estendidos do XXX Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia 2024). Semantic Web Technologies in Healthcare: A Scoping Review View