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

Ontologies, Classifications, and Coding (307)

Published on in Vol 7, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13554, first published .
Core Data Elements in Acute Myeloid Leukemia: A Unified Medical Language System–Based Semantic Analysis and Experts’ Review

Core Data Elements in Acute Myeloid Leukemia: A Unified Medical Language System–Based Semantic Analysis and Experts’ Review

Core Data Elements in Acute Myeloid Leukemia: A Unified Medical Language System–Based Semantic Analysis and Experts’ Review

Authors of this article:

Christian Holz1 Author Orcid Image ;   Torsten Kessler2 Author Orcid Image ;   Martin Dugas1 Author Orcid Image ;   Julian Varghese1 Author Orcid Image
Article Authors Cited by (10) Tweetations (6) Metrics

Journals

  1. Kentgen M, Varghese J, Samol A, Waltenberger J, Dugas M. Common Data Elements for Acute Coronary Syndrome: Analysis Based on the Unified Medical Language System. JMIR Medical Informatics 2019;7(3):e14107 View
  2. Elghafari A, Finkelstein J. Automated Identification of Common Disease-Specific Outcomes for Comparative Effectiveness Research Using ClinicalTrials.gov: Algorithm Development and Validation Study. JMIR Medical Informatics 2021;9(2):e18298 View
  3. Hegselmann S, Storck M, Gessner S, Neuhaus P, Varghese J, Bruland P, Meidt A, Mertens C, Riepenhausen S, Baier S, Stöcker B, Henke J, Schmidt C, Dugas M. Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse. BMC Medical Informatics and Decision Making 2021;21(1) View
  4. Berenspöhler S, Minnerup J, Dugas M, Varghese J. Common Data Elements for Meaningful Stroke Documentation in Routine Care and Clinical Research: Retrospective Data Analysis. JMIR Medical Informatics 2021;9(10):e27396 View
  5. Rafee A, Riepenhausen S, Neuhaus P, Meidt A, Dugas M, Varghese J. ELaPro, a LOINC-mapped core dataset for top laboratory procedures of eligibility screening for clinical trials. BMC Medical Research Methodology 2022;22(1) View
  6. Page K, Spellman S, Logan B. Worldwide sources of data in haematology: Importance of clinician-biostatistician collaboration. Best Practice & Research Clinical Haematology 2023;36(2):101450 View
  7. Ahmadi N, Zoch M, Kelbert P, Noll R, Schaaf J, Wolfien M, Sedlmayr M. Methods Used in the Development of Common Data Models for Health Data: Scoping Review. JMIR Medical Informatics 2023;11:e45116 View
  8. Riepenhausen S, Blumenstock M, Niklas C, Hegselmann S, Neuhaus P, Meidt A, Püttmann C, Storck M, Ganzinger M, Varghese J, Dugas M. Europe's Largest Research Infrastructure for Curated Medical Data Models with Semantic Annotations. Methods of Information in Medicine 2024;63(01/02):052 View
  9. Chadha K. Zero-Trust Data Architecture for Multi-Hospital Research: HIPAA-Compliant Unification of EHRs, Wearable Streams, and Clinical Trial Analytics. International Journal of Computational and Experimental Science and Engineering 2025;11(3) View

Conference Proceedings

  1. Venunadh A, Joy S. 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE). A Comprehensive Study on Technological Advancements in Treatment and Prognosis of Acute Myeloid Leukemia View