
Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes
Patricia Cerrito, John Cerrito
₹4,367

Medical Information Science Reference · 2010
A set of case studies that apply exploratory data analysis and data mining to observational health data, looking for patterns and trends. Written for practitioners of clinical data mining.
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Medical institutions are looking for ways to run more efficiently without lowering standards, and statistical models can help them see how patients fare. This book collects case studies that apply those models to health outcomes.
The case studies come from people who teach in, or completed, the University of Louisville's doctoral programme in Applied and Industrial Mathematics. They rely on non-traditional, exploratory methods and data mining tools to find patterns and trends in observational data.
The book is aimed at the next generation of data mining practitioners, and it presents both individual studies and broader frameworks for working with clinical data.
Edition details: first edition, published by Medical Information Science Reference, with the ISBN-13 9781615207237.