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Clinical Gastroenterology and Hepatology
Volume 8, Issue 2
, Pages 143-150
, February 2010
Algorithms Outperform Metabolite Tests in Predicting Response of Patients With Inflammatory Bowel Disease to Thiopurines
References
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View this article's video abstract at www.cghjournal.org.
Conflicts of interest The authors disclose the following: The Regents of the University of Michigan, along with authors Peter Higgins, Akbar Waljee, Joel Joyce, Sijian Wang, and Ji Zhu, have applied for a patent on the application of machine learning to patterns in the complete blood count and differential and the comprehensive chemistry panel to the prediction of clinical response to thiopurines. As of December 20, 2009, no patent has yet been granted. The remaining authors disclose no conflicts.
PII: S1542-3565(09)01011-8
doi: 10.1016/j.cgh.2009.09.031
© 2010 AGA Institute. Published by Elsevier Inc. All rights reserved.
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Clinical Gastroenterology and Hepatology
Volume 8, Issue 2
, Pages 143-150
, February 2010

