Abstract Details
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Activity Number:
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655
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Type:
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Contributed
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Date/Time:
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Thursday, August 8, 2013 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Learning and Data Mining
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| Abstract - #310113 |
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Title:
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Recent Advances in Claims Data--Based Total Health Care Cost Prediction
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Author(s):
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Donghui Wu and Emad El-Sebakhy and Krassimir Latinski*+ and Jun Han and Ognian Asparouhov
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Companies:
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Elsevier/MEDai Inc. and Elsevier/MEDai Inc. and Elsevier/MEDai and MEDai, a LexisNexis Company and Elsevier/MEDai Inc.
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Keywords:
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Claims Data ;
Cost Prediction ;
Predictive Modeling ;
Risk Assessment ;
Big Data ;
Data Mining
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Abstract:
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Claims data based total healthcare cost prediction has been a popular research field for over 30 years. Various clinical, statistical or hybrid models or systems have been developed and evaluated over years, and play more and more important roles in cost reimbursement, risk assessment, wellness management etc. In this talk, we will review the recent developments in this field, in particular the important role that new predictive modeling techniques play in last 5 to 10 years, and their impact on payers, providers and employers.
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Authors who are presenting talks have a * after their name.
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