Adaptive Intervention Algorithms

Adaptive Intervention Algorithms is a computational methodology that systematically adjusts intervention strategies in real time based on ongoing data feedback and individual or system-level response patterns to optimize outcomes within dynamic environments.

35

Publications

2.3K

Citations

162

Authors

92

Institutions

Publications per year

2017–2026

19

Authors

162

  1. DE
    Daniel E. Rivera

    Arizona State University, United States

    6 publications · 417 citations

    6

    h-index

  2. EB
    Eric B. Hekler

    Arizona State University, United States

    4 publications · 1.1K citations

    4

    h-index

  3. NN
    Naresh N. Nandola

    Arizona State University, United States

    3 publications · 98 citations

    3

    h-index

  4. MA
    Marc A. Adams

    Arizona State University, United States

    2 publications · 323 citations

    2

    h-index

  5. AC
    Ahmet Coşar

    Middle East Technical University, Türkiye

    2 publications · 115 citations

    2

    h-index

1–5 of 162

Venues

  1. Translational Behavioral Medicine

    2 publications · 117 citations

    2

    h-index

  2. Health Psychology

    1 publications · 707 citations

    1

    h-index

  3. Annals of Behavioral Medicine

    1 publications · 21 citations

    1

    h-index

  4. Lecture notes in computer science

    LNCS · Book series · 1 publications · 15 citations

    1

    h-index

  5. Algorithms

    1 publications · 32 citations

    1

    h-index

1–5