02294nam a2200325Ia 4500 313090 20160527190835.0 130316s2010 paua b 001 0 eng 2010006306 9781615209057 (h/c) 1615209050 (h/c) (OCoLC)ocn540015684 DNLM/DLC DLC YDX BTCTA YDXCP NLM DLC pcc R859.7.D36 C47 2010 W 26.55.I4 C6415 2010 610.285 C6413 22 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. Medical informatics 134402 Local Evidence-Based Medicine Data processing. 93893 Local Data mining 215550 Local Cerrito, Patricia B. 209099 Local Cerrito, John 1954- 209098 Local 230880 230880 0 0 ddc 0 610_285000000000000_C6413 0 evl 127531 10 10 1 2016-05-27 Amazon 219.83 503927 0 610.285 C6413 80000002491119 2016-05-27 00:00:00 r:313090 z:Presup. 2012-13 6