Ph. D.

1. Introduction to ranking models -- 2. Data visualization and data summary -- 3. Statistical methods -- 4. Predictive modeling versus regression -- 5. The Charleston Comorbidity Index -- 6. The all patient refined diagnosis related group -- 7. Risk adjustment based upon resource utilization --...

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--Provided by publisher.

The investigation of healthcare databases can be used to examine physician decisions and develop evidence-based treatment guidelines that optimize patient outcomes. This book demonstrates how concern for detail in datasets and the use of data mining techniques can extract important and...