Clinical data mining for physician decision making and investigating health outcomes
Subtitle: methods for prediction and analysis
By: Patricia Cerrito and John Cerrito, editors.
Contributors: Cerrito, Patricia B.; Cerrito, John, 1954-
Publisher: Medical Information Science Reference
Published: 2010
Place of publication: Hershey, PA
Language: eng
Number of pages: 356
ISBN-13: 9781615209057
Subjects: Medical informatics; Data mining; Evidence-based medicine -- Data processing; Data Mining; Medical Informatics Computing; Database Management Systems; Decision Making; Evidence-Based Medicine
Description: "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.
Notes: Includes bibliographical references and index.
Table of contents: title: Preprocessing the data; title: Errors and missing values in the dataset; title: Introduction to the use of MEPS (medical expenditure panel survey); title: Preprocessing Medpar data; title: Extracting data from the national inpatient sample; title: Creating a one-to-one relationship in the data from a many-to-many; title: Merging different datasets to allow for a complete analysis (inpatient, outpatient, physician visits, medications); title: Introduction to analysis using time components; title: More survival data mining-multiple time of endpoints; title: Using the data to define patient compliance; title: Compression of diagnosis and procedure codes; title: Comparisons of patient severity indices.