Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Frey says China is source country of most new U.S. immigrants

Rodriguez, Geronimus, Bound and Dorling find excess mortality among blacks influences key elections

DeWitt's map of 40-year shifts in Baltimore's racial composition helps explain April 2015 uprising

Highlights

Cheng wins ASA Outstanding Graduate Student Paper Award

Hicken wins 2015 UROP Outstanding Research Mentor Award

U-M ranked #1 in Sociology of Population by USN&WR's "Best Graduate Schools"

PAA 2015 Annual Meeting: Preliminary program and list of UM participants

Next Brown Bag

Mon, May 18
Lois Verbrugge, Disability Experience & Measurement

Informing sequential clinical decision-making through reinforcement learning: an empirical study

Publication Abstract

Shortreed, Susan M., Eric Laber, Daniel J. Lizotte, T. Scott Stroup, Joelle Pineau , and Susan A. Murphy. 2011. "Informing sequential clinical decision-making through reinforcement learning: an empirical study." Machine Learning, 84(1-2): 109-136.

This paper highlights the role that reinforcement learning can play in the optimization of treatment policies for chronic illnesses. Before applying any off-the-shelf reinforcement learning methods in this setting, we must first tackle a number of challenges. We outline some of these challenges and present methods for overcoming them. First, we describe a multiple imputation approach to overcome the problem of missing data. Second, we discuss the use of function approximation in the context of a highly variable observation set. Finally, we discuss approaches to summarizing the evidence in the data for recommending a particular action and quantifying the uncertainty around the Q-function of the recommended policy. We present the results of applying these methods to real clinical trial data of patients with schizophrenia.

DOI:10.1007/s10994-010-5229-0 (Full Text)

PMCID: PMC3143507. (Pub Med Central)

Country of focus: United States of America.

Browse | Search : All Pubs | Next