Immunization Forecasting Logic

Immunization Forecasting Logic is a computational reasoning framework within immunization registry architecture that determines recommended vaccine schedules for individuals by applying clinical guidelines, patient history, and timing rules to predict future immunization needs.

3

Publications

55

Citations

7

Authors

1

Institutions

Publications per year

2017–2026

0

Variants

Immunization Forecasting RulesVaccination Forecasting LogicVaccination Forecasting Rules

Authors

7

  1. PL
    Perry L. Miller

    Yale University, United States

    3 publications · 55 citations

    3

    h-index

  2. FS
    Frederick Sayward

    Yale University, United States

    2 publications · 40 citations

    2

    h-index

  3. SJ
    Sandra J. Frawley

    Yale University, United States

    2 publications · 40 citations

    2

    h-index

  4. CB
    Cynthia Brandt

    Yale University, United States

    1 publications · 11 citations

    1

    h-index

  5. WA
    William A. Yasnoff

    Johns Hopkins University, United States

    1 publications · 29 citations

    1

    h-index

1–5 of 7

Institutions

1

  1. Yale University

    New Haven, United States

    3 h-index

    7 publications

    117 citations

1–1 of 1

Venues

  1. Computers and Biomedical Research

    3 publications · 55 citations

    3

    h-index

1–1