Abstract Details
Activity Number:
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248
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Type:
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Contributed
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Date/Time:
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Monday, August 4, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Computing
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Abstract #313004
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Title:
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Classification of Clinical Outcomes Using High-Throughput Informatics
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Author(s):
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Alexander Cambon*+ and Shesh N. Rai
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Companies:
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University of Louisville and University of Louisville
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Keywords:
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classification ;
machine learning ;
treatment subset ;
dimension reduction ;
clinical study
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Abstract:
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Various distance measures for nonparametric and parametric classification methods are identified. These distance measures are then extended for use in methods involving treatment subset prediction in clinical studies involving high throughput data. Simulation results are presented, along with discussion and conclusions and ideas for further extensions and applications.
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Authors who are presenting talks have a * after their name.
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