Childhood Cancer Data Initiative Annual Symposium (Abstract Registration): Submission #68

serial: '68'
sid: '191336'
uuid: 92495c86-9343-446a-9541-ca2af51a2393
uri: /nci/ccdisymposium/abstract
created: '1787097695'
completed: '1787098032'
changed: '1787098032'
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langcode: en
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data:
  authors_:
    - add_author_degree: Ph.D.
      add_author_first_name: James
      add_author_last_name: Tanis
      add_author_middle: H
      add_author_organization: NCI
    - add_author_degree: M.Sc.
      add_author_first_name: Denise
      add_author_last_name: Warzel
      add_author_middle: B
      add_author_organization: NCI
    - add_author_degree: B.S.
      add_author_first_name: Rakesh
      add_author_last_name: Khanna
      add_author_middle: ''
      add_author_organization: NCI
    - add_author_degree: Ph.D.
      add_author_first_name: Qingrong
      add_author_last_name: Chen
      add_author_middle: ''
      add_author_organization: NCI
    - add_author_degree: Ph.D.
      add_author_first_name: Chunhua
      add_author_last_name: Yan
      add_author_middle: ''
      add_author_organization: NCI
    - add_author_degree: B.S.
      add_author_first_name: Ravi
      add_author_last_name: Valleleth
      add_author_middle: ''
      add_author_organization: NCI
    - add_author_degree: B.S.
      add_author_first_name: Matthew
      add_author_last_name: Nash
      add_author_middle: T
      add_author_organization: NCI
    - add_author_degree: B.S.
      add_author_first_name: Deepali
      add_author_last_name: Manathara
      add_author_middle: ''
      add_author_organization: NCI
    - add_author_degree: B.S.
      add_author_first_name: Bradley
      add_author_last_name: Biggers
      add_author_middle: B
      add_author_organization: NCI
    - add_author_degree: M.Sc.
      add_author_first_name: Joyce
      add_author_last_name: Soares
      add_author_middle: B
      add_author_organization: NCI
    - add_author_degree: Ph.D.
      add_author_first_name: Daoud
      add_author_last_name: Meerzaman
      add_author_middle: ''
      add_author_organization: NCI
  abstract: 'Accurate mapping of source data elements to standardized common data elements (CDEs) is essential for biomedical data integration, but short, abbreviated, and heterogeneous source descriptions make both lexical and semantic matching unreliable. We constructed a benchmark of approximately 69,000 expert-linked source-to-CDE mappings from the National Cancer Institute’s caDSR and used it to evaluate bi-encoders, text representations, and two-stage fine-tuning. We then developed a hybrid system that combines semantic retrieval, CDE Match-inspired keyword retrieval, cross-encoder scoring, and supervised reranking. Across an internal test set and five distribution-shifted holdouts, the system achieved Recall@5 of 0.971 internally and 0.802–0.972 externally. It achieved the highest Recall@5 among evaluated methods on five of six datasets; on GDC, performance was near ceiling at 70/72, within one query of the official NCI CDE Match service and its Python approximation at 71/72.'
  abstract_title_: 'Hybrid Semantic–Lexical Retrieval for Source-to-CDE Mapping in the NCI caDSR'
  email_address_: james.tanis@nih.gov
  institution_: NCI
  presenting_author_: 'James H Tanis'