Optimal treatment selection

Friday, November 9, 2018 - 9:50am - 10:20am
Donglin Zeng (University of North Carolina, Chapel Hill)
To achieve personalized medicine, an individualized treatment strategy assigning treatment based on an individual's characteristics that leads to the largest benefit can be considered. Recently, a machine learning approach, O-learning, has been proposed to estimate an optimal individualized treatment rule (ITR), but it is developed to make binary decisions and thus limited to compare two treatments.
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