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03542nam a2200541 a 4500 |
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27803 |
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20101014164027.0 |
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m e d |
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100820s2010 paua fsb 000 0 eng d |
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|a 9781615209064 (ebook)
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|a CaBNVSL
|c CaBNVSL
|d CaBNVSL
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|a R859.7.D36
|b C55 2010e
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|a W 26.55.I4
|b C6415 2010e
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| 245 |
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|a Clinical data mining for physician decision making and investigating health outcomes
|b methods for prediction and analysis /
|c Patricia Cerrito, John Cerrito.
|h [electronic resource] :
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|a Hershey, Pa. :
|b IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),
|c 2010.
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| 300 |
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|a 1 electronic resource (351 p. : ill.) :
|b digital files.
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|a Includes bibliographical references.
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|a 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 -- Decision trees and their development -- Example of diabetes using CMS data -- Example of breathing illnesses, asthma and COPD using MEPS data -- Example of wound care using Medpar data -- Discussion.
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|a Restricted to subscribers or individual electronic text purchasers.
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|a 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 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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|a Also available in print.
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|a Mode of access: World Wide Web.
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|a Title from ebook home page (viewed on August 18, 2010).
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| 650 |
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|a Medical informatics.
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| 650 |
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|a Data mining.
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| 650 |
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|a Evidence-based medicine
|x Data processing.
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| 650 |
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|a Data Mining.
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| 650 |
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|a Medical Informatics Computing.
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| 650 |
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|a Database Management Systems.
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| 650 |
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|a Decision Making.
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| 650 |
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|a Evidence-Based Medicine.
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| 653 |
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|a Preprocessing of large, healthcare databases
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|a Use of data mining techniques to investigate data
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|a Time series methods
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|a Dealing with large datasets
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|a Patient compliance
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|a Co-morbidities
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|a Defining patient severity indices
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|a Estimating probabilities of treatment outcomes
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|a Relationship between treatment and outcome
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|a Improving patient care
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| 700 |
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|a Cerrito, John,
|d 1954-
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|a Cerrito, Patricia B.
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|a IGI Global.
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|u https://ezaccess.library.uitm.edu.my/login?url=http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-61520-905-7
|z View fulltext via EzAccess
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