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

Format:

Book

Author/Creator:

Cerrito, Patricia B.

Contributor:

Cerrito, John, 1954-

Language:

English

Subjects (All):

Medical informatics.

Data mining.

Evidence-based medicine--Data processing.

Evidence-based medicine.

Data Mining.

Medical Informatics Computing.

Database Management Systems.

Decision Making.

Evidence-Based Medicine.

Medical Subjects:

Data Mining.

Medical Informatics Computing.

Database Management Systems.

Decision Making.

Evidence-Based Medicine.

Physical Description:

xiv, 356 pages : illustrations ; 29 cm

Place of Publication:

Hershey, PA : Medical Information Science Reference, [2010]

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.

ISBN:

9781615209057

1615209050

OCLC:

540015684