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Cases on Health Outcomes and Clinical Data Mining

Studies and Frameworks


ISBN: 9781615207237

Publication Date: Apr 2010

Format: Hardback

Provides case studies developed by faculty and graduates of the University of Louisville's PhD program in Applied and Industrial Mathematics. The studies use non-traditional, exploratory data analysis and data mining tools to examine health outcomes, finding patterns and trends in observational data. It is ideal for the next generation of data mining practitioners.
£225.00

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Cases on Health Outcomes and Clinical Data Mining: Studies and Frameworks provides several case studies developed by faculty and graduates of the University of Louisville's PhD program in Applied and Industrial Mathematics. The studies in this book use non-traditional, exploratory data analysis and data mining tools to examine health outcomes, finding patterns and trends in observational data. This book is ideal for the next generation of data mining practitioners.
Imprint Engineering Science Reference
Date Published 30 Apr 2010
Publisher IGI Global
Subject/s Medicine: general issues  
Patricia Cerrito, PhD, has made considerable strides in the development of data mining techniques to investigate large, complex medical data. In particular, she has developed a method to automate the reduction of the number of levels in a nominal data field to a manageable number that can then be used in other data mining techniques. Another innovation of the PI is to combine text analysis with association rules to examine nominal data. The PI has over 30 years of experience in working with SAS software, and over 10 years of experience in data mining healthcare databases. In just the last two years, she has supervised 7 PhD students who completed dissertation research in investigating health outcomes. Dr. Cerrito has a particular research interest in the use of a patient severity index to define provider quality rankings for reimbursements.

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