methods for prediction and analysis

Patricia Cerrito, John Cerrito

xiv, 356 p. , ill. , 29 cm.

,

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.

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Medical Information Science Reference,

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9781615209057 (h/c) ,

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