Clinical data mining for physician decision making and investigating health outcomes methods for prediction and analysis
Patricia Cerrito, John Cerrito, editors.
- Hershey, PA Medical Information Science Reference c2010.
- xiv, 356 p. ill. 29 cm.
"Premier Reference Source" --Cover.
Includes bibliographical references and index.
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.
"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.
9781615209057 (h/c) 1615209050 (h/c)
2010006306
Medical informatics Evidence-Based Medicine--Data processing. Data mining