Multivariate Clinical Data Visualization

Multivariate Clinical Data Visualization is a visualization approach that belongs to the category of clinical data visualization techniques and is distinguished by its capacity to simultaneously represent multiple clinical variables within a unified visual framework to support complex pattern recognition and clinical inference.

11

Publications

459

Citations

36

Authors

25

Institutions

Publications per year

2017–2026

4

Authors

36

  1. SM
    Shelby Monahan

    Vanderbilt University Medical Center, United States

    1 publications · 51 citations

    1

    h-index

  2. AK
    Andrzej Król

    SUNY Upstate Medical University, United States

    1 publications · 12 citations

    1

    h-index

  3. MA
    Max A. Woodbury

    Duke University, United States

    1 publications · 15 citations

    1

    h-index

  4. AN
    Andrew Nguyen

    St Vincent's Hospital Sydney, Australia

    1 publications · 16 citations

    1

    h-index

  5. SP
    Soojin Park

    Columbia University, United States

    1 publications · 51 citations

    1

    h-index

1–5 of 36

Venues

  1. Color and Imaging Conference

    CIC · 1 publications · 12 citations

    1

    h-index

  2. Statistics in Medicine

    1 publications · 24 citations

    1

    h-index

  3. Frontiers in Medicine

    1 publications · 27 citations

    1

    h-index

  4. National Conference on Artificial Intelligence

    Conference · 1 publications · 16 citations

    1

    h-index

  5. Journal of Medical Systems

    1 publications · 51 citations

    1

    h-index

1–5