Structured Data Mining

Structured Data Mining is a data analysis methodology that systematically extracts, transforms, and identifies patterns from standardized, hierarchically organized electronic health record data to support clinical decision-making and population health surveillance.

126

Publications

6.9K

Citations

415

Authors

219

Institutions

Publications per year

2017–2026

23

Authors

415

  1. JH
    Jiawei Han

    University of Illinois Urbana-Champaign, United States

    4 publications · 534 citations

    4

    h-index

  2. RS
    Radu Stefan Niculescu

    Carnegie Mellon University, United States

    3 publications · 145 citations

    3

    h-index

  3. AM
    Alessio Micheli

    University of Pisa, Italy

    3 publications · 124 citations

    3

    h-index

  4. AS
    Alessandro Sperduti

    University of Padua, Italy

    3 publications · 124 citations

    3

    h-index

  5. NE
    Norberto Ezquerra

    Georgia Institute of Technology, United States

    3 publications · 320 citations

    3

    h-index

1–5 of 415

Venues

  1. ACM SIGKDD Explorations Newsletter

    5 publications · 283 citations

    5

    h-index

  2. Artificial Intelligence in Medicine

    AIM · 5 publications · 601 citations

    5

    h-index

  3. PubMed

    Repository · 4 publications · 76 citations

    4

    h-index

  4. Machine Learning

    3 publications · 385 citations

    3

    h-index

  5. Expert Systems with Applications

    3 publications · 118 citations

    3

    h-index

1–5