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Probabilistic Learning of Treatment Trees in Cancer
In this paper, we propose a novel Bayesian probabilistic tree-based framework, which motivates a new metric of mechanistic similarity between two or more treatments.
Tsung-Hung Yao, Zhenke Wu, Karthik Bharath, Jinju Li, Veerabhadran Baladandayuthapan
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Probabilistic Learning of Treatment Trees in Cancer
Trends in Gender-affirming Surgery in Insured Patients in the United States
An estimated 0.6% of the U.S. population identifies as transgender and an increasing number of patients are presenting for …
Megan Lane, Graham C. Ives, Emily C. Sluiter, Jennifer F. Waljee, Tsung-Hung Yao, Hsou Mei Hu, William M. Kuzon
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