An edition of Clinical data mining for physician decision making and investigating health outcomes
(2010)
Clinical data mining for physician decision making and investigating health outcomes
methods for prediction and analysis
by Patricia B. Cerrito
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"This book shows how the investigation of healthcare databases can be used to examine physician decisions to develop evidence-based treatment guidelines that optimize patient outcomes"--Provided by publisher.
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| Edition | Availability |
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1
Clinical data mining for physician decision making and investigating health outcomes: methods for prediction and analysis
2010, Medical Information Science Reference
in English
1615209050 9781615209057
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Book Details
Table of Contents
Preprocessing the data
Errors and missing values in the dataset
Introduction to the use of MEPS (medical expenditure panel survey)
Preprocessing Medpar data
Extracting data from the national inpatient sample
Creating a one-to-one relationship in the data from a many-to-many
Merging different datasets to allow for a complete analysis (inpatient, outpatient, physician visits, medications)
Introduction to analysis using time components
More survival data mining-multiple time of endpoints
Using the data to define patient compliance
Compression of diagnosis and procedure codes
Comparisons of patient severity indices.
Edition Notes
Includes bibliographical references and index.
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| November 13, 2020 | Edited by MARC Bot | import existing book |
| February 12, 2019 | Created by MARC Bot | import existing book |