Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes

Name: Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes
SKU: 5375996
Price: 629.99 AUD
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Methods for Prediction and Analysis

Format:

Hardback

Series:

Advances in Medical Technologies and Clinical Practice

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Description

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.

Author Biography:

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.

Release date Australia

July 30th, 2010

Audience

Professional & Vocational

Illustrations

1, black & white illustrations

Pages

372

Series

Advances in Medical Technologies and Clinical Practice

Dimensions

216x280x22

ISBN-13

9781615209057

Product ID

5375996

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Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes

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