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
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2017–2026
83
Parents
179
<i>TP53</i> Mutation and Survival in Chronic Lymphocytic Leukemia
Thorsten Zenz, Barbara Eichhorst, Raymonde Busch et al. · Journal of Clinical Oncology · 2010 · 597 citations · Full text
A Robust Method for Estimating Optimal Treatment Regimes
Baqun Zhang, Anastasios A. Tsiatis, Eric B. Laber et al. · Biometrics · 2012 · 443 citations
G. Hanks, Alexandra L. Hanlon, Timothy E. Schultheiss et al. · International Journal of Radiation Oncology*Biology*Physics · 1998 · 423 citations
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Charité - Universitätsmedizin Berlin
Berlin, Germany
7 h-index
32 publications
817 citations

Johns Hopkins University
Baltimore, United States
5 h-index
17 publications
3.1K citations
North Carolina State University
Raleigh, United States
5 h-index
13 publications
2.8K citations

University of Alberta
Edmonton, Canada
5 h-index
19 publications
1.1K citations
Heidelberg University
Heidelberg, Germany
4 h-index
26 publications
8.6K citations

Jewish General Hospital
Montreal, Canada
4 h-index
5 publications
100 citations
Harvard University
Cambridge, United States
4 h-index
6 publications
328 citations
University of Michigan
Ann Arbor, United States
4 h-index
13 publications
658 citations
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Repository · 16 publications · 636 citations
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3 publications · 71 citations
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2 publications · 656 citations
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JNS · 2 publications · 52 citations
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2 publications · 746 citations
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