Treatment Optimization Algorithms

Treatment Optimization Algorithms is a computational methodology within de-escalation policies that systematically identifies the most effective sequence and combination of interventions by analyzing contextual, behavioral, and temporal data to minimize conflict intensity while maximizing therapeutic or corrective outcomes.

179

Publications

10.6K

Citations

1.1K

Authors

564

Institutions

Publications per year

2017–2026

83

Authors

1.1K

  1. WL
    Wenbin Lu

    North Carolina State University, United States

    3 publications · 216 citations

    3

    h-index

  2. MN
    M. Neil Reaume

    Ottawa Hospital, Canada

    2 publications · 36 citations

    2

    h-index

  3. SG
    Samantha Gray

    Queen Elizabeth II Health Sciences Centre, Canada

    2 publications · 36 citations

    2

    h-index

  4. SD
    Shaan Dudani

    University of Calgary, Canada

    2 publications · 36 citations

    2

    h-index

  5. GA
    Georg A. Bjarnason

    Sunnybrook Health Science Centre, Canada

    2 publications · 36 citations

    2

    h-index

1–5 of 1.1K

Venues

  1. PubMed

    Repository · 16 publications · 636 citations

    12

    h-index

  2. Medical Physics

    3 publications · 71 citations

    3

    h-index

  3. 2

    h-index

  4. Journal of Neurosurgery Pediatrics

    JNS · 2 publications · 52 citations

    2

    h-index

  5. Journal of Clinical Oncology

    2 publications · 746 citations

    2

    h-index

1–5