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IBM Redbooks > IBM System p
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 Mining Your Own Business in Health Care Using DB2 Intelligent Miner for Data
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The new challenge of integrated solutions is to get more knowledge from data in order to build the most valuable solutions. This IBM Redbook is a solution guide to address the business issues in health care by real usage experience and to position the value of DB2 Intelligent Miner for Data in a Business Intelligence architecture as an integrated solution.
Typical health care issues are addressed in this redbook, such as:
How to calculate weight for diagnoses related groups? Are there characteristic groups of patients in my population? Can we optimize medical tests for a specific disease? Can we detect precauses for a special medical condition?
This book also describes a data mining method to ensure that the optimum results are obtained. It details for each business issue:
- What common data model to use
- How to source the data
- How to evaluate the model
- What data mining technique to use
- How to interpret the results
- How to deploy the model
Business users who want to know the payback on their organization when using the DB2 Intelligent Miner for Data solution should read the sections about the business issues, how to interpret the results, and how to deploy the model in the enterprise.
Implementers who want to start using mining techniques should read the sections about how to define the common data model to use, how to source the data, and how to choose the data mining techniques. |
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Chapter 1. Introduction
Chapter 2. Business Intelligence architecture overview
Chapter 3. A generic data mining method
Chapter 4. How to perform weight rating for Diagnosis Related Groups by using medical diagnoses
Chapter 5. How to perform patient profiling
Chapter 6. Can we optimize medical prophylaxis tests?
Chapter 7. Can we detect precauses for a special medical condition?
Chapter 8. The value of DB2 Intelligent Miner for Data |
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