Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis PDF

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The investigation of healthcare databases can be used to examine physician decisions and develop evidence-based treatment guidelines that optimize patient outcomes.

Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis demonstrates how concern for detail in datasets and the use of data mining techniques can extract important and meaningful knowledge from healthcare databases. Basic information on processing data with step-by-step instructions is provided, allowing readers to use their own data and follow the instructions to find meaningful results.

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• Series: Premier Reference Source
• Hardcover: 386 pages
• Publisher: Medical Information Science Reference; First edition (June 1, 2010)
• Language: English
• ISBN-10: 1615209050
• ISBN-13: 978-1615209057
• Product Dimensions: 1.1 x 8.5 x 10.9 inches
• Shipping Weight: 2.8 pounds (View shipping rates and policies)

Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis PDF