These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

196 related articles for article (PubMed ID: 30147028)

  • 1. Investigating the Capabilities of FHIR Search for Clinical Trial Phenotyping.
    Gulden C; Mate S; Prokosch HU; Kraus S
    Stud Health Technol Inform; 2018; 253():3-7. PubMed ID: 30147028
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Developing an FHIR-Based Computational Pipeline for Automatic Population of Case Report Forms for Colorectal Cancer Clinical Trials Using Electronic Health Records.
    Zong N; Wen A; Stone DJ; Sharma DK; Wang C; Yu Y; Liu H; Shi Q; Jiang G
    JCO Clin Cancer Inform; 2020 Mar; 4():201-209. PubMed ID: 32134686
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Modeling and validating HL7 FHIR profiles using semantic web Shape Expressions (ShEx).
    Solbrig HR; Prud'hommeaux E; Grieve G; McKenzie L; Mandel JC; Sharma DK; Jiang G
    J Biomed Inform; 2017 Mar; 67():90-100. PubMed ID: 28213144
    [TBL] [Abstract][Full Text] [Related]  

  • 4. HL7 FHIR: Ontological Reinterpretation of Medication Resources.
    Martinez-Costa C; Schulz S
    Stud Health Technol Inform; 2017; 235():451-455. PubMed ID: 28423833
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A sustainable HL7 FHIR based ontology for PHR data
    Kilintzis V; Kosvyra A; Beredimas N; Natsiavas P; Maglaveras N; Chouvarda I
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():5700-5703. PubMed ID: 31947146
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Implementation of a Clinical Trial Recruitment Support System Based on Fast Healthcare Interoperability Resources (FHIR) in a Cardiology Department.
    Scherer C; Endres S; Orban M; Kääb S; Massberg S; Winter A; Löbe M
    Stud Health Technol Inform; 2022 May; 294():440-444. PubMed ID: 35612118
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Matching Ontologies to HL7 FHIR Towards Their Syntactic and Semantic Similarity.
    Kiourtis A; Mavrogiorgou A; Kyriazis D
    Stud Health Technol Inform; 2018; 251():51-54. PubMed ID: 29968599
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A reusable ontology for primitive and complex HL7 FHIR data types.
    Beredimas N; Kilintzis V; Chouvarda I; Maglaveras N
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():2547-50. PubMed ID: 26736811
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Semantic Similarity Evaluation for Healthcare Ontologies Matching to HL7 FHIR Resources.
    Kiourtis A; Mavrogiorgou A; Kyriazis D
    Stud Health Technol Inform; 2020 Jun; 270():13-17. PubMed ID: 32570337
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Semantics Management for a Regional Health Information System in Italy by CTS2 and FHIR.
    Gazzarata R; Maggi N; Magnoni LD; Monteverde ME; Ruggiero C; Giacomini M
    Stud Health Technol Inform; 2021 Nov; 287():119-123. PubMed ID: 34795094
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bridging the Gap between HL7 CDA and HL7 FHIR: A JSON Based Mapping.
    Rinner C; Duftschmid G
    Stud Health Technol Inform; 2016; 223():100-6. PubMed ID: 27139391
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Structurally Mapping Healthcare Data to HL7 FHIR through Ontology Alignment.
    Kiourtis A; Mavrogiorgou A; Menychtas A; Maglogiannis I; Kyriazis D
    J Med Syst; 2019 Feb; 43(3):62. PubMed ID: 30721349
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Clinical Text Mining on FHIR.
    Daumke P; Heitmann KU; Heckmann S; Martínez-Costa C; Schulz S
    Stud Health Technol Inform; 2019 Aug; 264():83-87. PubMed ID: 31437890
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Striking a match between FHIR-based patient data and FHIR-based eligibility criteria.
    Alper BS; Dehnbostel J; Shahin K; Ojha N; Khanna G; Tignanelli CJ
    Learn Health Syst; 2023 Oct; 7(4):e10368. PubMed ID: 37860063
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Combining Archetypes with Fast Health Interoperability Resources in Future-proof Health Information Systems.
    Bosca D; Moner D; Maldonado JA; Robles M
    Stud Health Technol Inform; 2015; 210():180-4. PubMed ID: 25991126
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Feasibility of Representing a Danish Microbiology Model Using FHIR.
    Andersen MV; Kristensen IH; Larsen MM; Pedersen CH; Gøeg KR; Pape-Haugaard LB
    Stud Health Technol Inform; 2017; 235():13-17. PubMed ID: 28423746
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Health Care in the Age of Interoperability Part 6: The Future of FHIR.
    Braunstein ML
    IEEE Pulse; 2019; 10(4):25-27. PubMed ID: 31395530
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Exploring JSON-LD as an Executable Definition of FHIR RDF to Enable.
    Solbrig HR; Solbrig HR; Prud'hommeaux E; Booth D; Endle CM; Stone DJ; Jiang G
    AMIA Annu Symp Proc; 2020; 2020():1140-1149. PubMed ID: 33936490
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Methodology for an Auto-Generated and Auto-Maintained HL7 FHIR OWL Ontology for Health Data Management.
    Kilintzis V; Alexandropoulos VC; Beredimas N; Maglaveras N
    Stud Health Technol Inform; 2021 Nov; 287():99-103. PubMed ID: 34795090
    [TBL] [Abstract][Full Text] [Related]  

  • 20. TerminoDiff - Detecting Semantic Differences in HL7 FHIR CodeSystems.
    Wiedekopf J; Drenkhahn C; Rosenau L; Ulrich H; Kock-Schoppenhauer AK; Ingenerf J
    Stud Health Technol Inform; 2022 May; 294():362-366. PubMed ID: 35612097
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.