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Activity Number: 688
Type: Topic Contributed
Date/Time: Thursday, August 4, 2016 : 10:30 AM to 12:20 PM
Sponsor: Health Policy Statistics Section
Abstract #319263
Title: Multicategory Personalized Treatment Rule with Application to Diabetes Data Analysis
Author(s): Xuanyao He* and Haoda Fu
Companies: Eli Lilly and Company and
Keywords: Personalized Medicine ; Individualized Treatment Rule ; Multi-category Classification ; Machine Learning

Personalized medicine is to assign medical treatment based on the characteristics of each patient. It is important to discover the individualized treatment rule that can achieve optimal outcome for patients. In recent years, statistical classification methods have been playing more and more important role in this field. In this talk, we will link several classification approaches with individualized treatment rule. Our approach will be implemented using R, and will be applied to diabetes data analysis.

Authors who are presenting talks have a * after their name.

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