Franklin

Clinical data mining for physician decision making and investigating health outcomes : methods for prediction and analysis / Patricia Cerrito, John Cerrito.

Author/Creator:
Cerrito, Patricia B.
Publication:
Hershey, PA : Medical Information Science Reference, c2010.
Format/Description:
Book
xiv, 356 p. : ill. ; 29 cm.
Subjects:
Medical informatics.
Data mining.
Evidence-based medicine -- Data processing.
Medical subjects:
Data Mining.
Medical Informatics Computing.
Database Management Systems.
Decision Making.
Evidence-Based Medicine.
Summary:
"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.
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 of 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 : use of data to determine the quality of care
Example of diabetes using CMS data
Example of breathing illness, asthma and COPD using MEPS data
Example of wound care using Medpar data.
Notes:
Includes bibliographical references and index.
Contributor:
Cerrito, John, 1954-
ISBN:
9781615209057 (h/c)
1615209050 (h/c)
OCLC:
540015684
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