Data Normalization

Data Normalization is the process of transforming heterogeneous health data into a consistent, standardized format to ensure syntactic and semantic interoperability across disparate systems within a Health Information Exchange.

1.1K

Publications

85.3K

Citations

3.8K

Authors

1.4K

Institutions

Publications per year

2017–2026

432

Authors

3.8K

  1. HL
    Hongfang Liu

    Mayo Clinic in Florida, United States

    6 publications · 245 citations

    6

    h-index

  2. LL
    Leonid Libkin

    University of Edinburgh, United Kingdom

    5 publications · 550 citations

    5

    h-index

  3. ZL
    Zhiyong Lu

    National Center for Biotechnology Information, United States

    5 publications · 761 citations

    5

    h-index

  4. MA
    Marcelo Arenas

    Pontificia Universidad Católica de Chile, Chile

    5 publications · 550 citations

    5

    h-index

  5. CG
    Christopher G. Chute

    Mayo Clinic, United States

    5 publications · 247 citations

    5

    h-index

1–5 of 3.8K

Venues

  1. arXiv (Cornell University)

    Repository · 32 publications · 1.6K citations

    21

    h-index

  2. Journal of the American Medical Informatics Association

    JAMIA · 23 publications · 1.6K citations

    20

    h-index

  3. BMC Bioinformatics

    24 publications · 1.7K citations

    19

    h-index

  4. Journal of Biomedical Informatics

    22 publications · 1K citations

    17

    h-index

  5. PubMed

    Repository · 26 publications · 1.4K citations

    16

    h-index

1–5