Longitudinal Patient Data Visualization

Longitudinal Patient Data Visualization is a clinical data visualization method that specifically represents the temporal evolution of individual patient health metrics, interventions, and outcomes over time to enable the analysis of disease progression, treatment efficacy, and patient trajectories within healthcare and research settings.

17

Publications

1.4K

Citations

130

Authors

59

Institutions

Publications per year

2017–2026

10

Authors

130

  1. JH
    Jason H. Moore

    Dartmouth College, United States

    2 publications · 71 citations

    2

    h-index

  2. BK
    Brett K. Beaulieu‐Jones

    Harvard University, United States

    2 publications · 71 citations

    2

    h-index

  3. PO
    Patryk Orzechowski

    University of Pennsylvania, United States

    2 publications · 71 citations

    2

    h-index

  4. SS
    Samantha Stonbraker

    Columbia University, United States

    1 publications · 50 citations

    1

    h-index

  5. EY
    Elizabeth Yakes Jimenez

    University of New Mexico, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 130

Venues

  1. Journal of the American Medical Informatics Association

    JAMIA · 3 publications · 170 citations

    3

    h-index

  2. Cancer Research

    1 publications · 853 citations

    1

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 54 citations

    1

    h-index

  4. Nursing Research

    1 publications · 20 citations

    1

    h-index

  5. Journal of Personalized Medicine

    JPM · 1 publications · 13 citations

    1

    h-index

1–5