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

Ontologies, Classifications, and Coding (324) Cancer Epidemiology, Cancer Surveillance and Infodemiology (113)

Published on in Vol 6, No 1 (2018): Jan-Mar

Representation of Time-Relevant Common Data Elements in the Cancer Data Standards Repository: Statistical Evaluation of an Ontological Approach

Representation of Time-Relevant Common Data Elements in the Cancer Data Standards Repository: Statistical Evaluation of an Ontological Approach

Representation of Time-Relevant Common Data Elements in the Cancer Data Standards Repository: Statistical Evaluation of an Ontological Approach

Authors of this article:

Henry W Chen1 Author Orcid Image ;   Jingcheng Du2 Author Orcid Image ;   Hsing-Yi Song2 Author Orcid Image ;   Xiangyu Liu2 Author Orcid Image ;   Guoqian Jiang3 Author Orcid Image ;   Cui Tao2 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Li F, Du J, He Y, Song H, Madkour M, Rao G, Xiang Y, Luo Y, Chen H, Liu S, Wang L, Liu H, Xu H, Tao C. Time event ontology (TEO): to support semantic representation and reasoning of complex temporal relations of clinical events. Journal of the American Medical Informatics Association 2020;27(7):1046 View
  2. Silva M, Eugénio P, Faria D, Pesquita C. Ontologies and Knowledge Graphs in Oncology Research. Cancers 2022;14(8):1906 View
  3. Canito A, Corchado J, Marreiros G. A systematic review on time-constrained ontology evolution in predictive maintenance. Artificial Intelligence Review 2022;55(4):3183 View

Conference Proceedings

  1. Wang P, Wang H, Yang Y, Liu L, Cao X, Peng P. 2025 21st International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). Research on the Construction Method of Semantic Metamodel of Power Field Events based on Standard Text View