Tools

LEADER 03113cam 2200565 a 4500

001 ocn540015684;

003 OCoLC;

005 20141212052745.0;

008 100302s2010 paua b 001 0 eng ;

010 a| 2010006306;

016 7 a| 1015255272| DNLM;

019 a| 468978173;

020 a| 9781615209057 (h/c);

020 a| 1615209050 (h/c);

029 1 a| NLMb| 101525527;

035 a| (Sirsi) o540015684;

035 a| (OCoLC)540015684;

042 a| pcc;

049 a| NEHH;

050 04 a| R859.7.D36b| C47 2010;

060 10 a| W 26.55.I4b| C6415 2010;

082 00 a| 610.2852| 22;

100 1 a| Cerrito, Patricia B.=| ^A886411;

245 10 a| Clinical data mining for physician decision making and investigating health outcomes :b| methods for prediction and analysis /c| Patricia Cerrito, John Cerrito.;

300 a| xiv, 356 pages :b| illustrations ;c| 29 cm;

336 a| text2| rdacontent;

337 a| unmediated2| rdamedia;

338 a| volume2| rdacarrier;

504 a| Includes bibliographical references and index.;

505 0 a| 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.;

520 a| "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.;

650 0 a| Medical informatics.=| ^A149372;

650 0 a| Data mining.=| ^A408868;

650 0 a| Evidence-based medicinex| Data processing.=| ^A473575;

650 12 a| Data Mining.=| ^A1023265;

650 12 a| Medical Informatics Computing.=| ^A923974;

650 22 a| Database Management Systems.=| ^A923108;

650 22 a| Decision Making.=| ^A917811;

650 22 a| Evidence-Based Medicine.=| ^A930444;

700 1 a| Cerrito, John,d| 1954-=| ^A1021212;

994 a| C0b| TEF;

938 a| Baker and Taylorb| BTCPn| BK0008675357;

938 a| YBP Library Servicesb| YANKn| 3172163;

590 a| Laupus-WCP;

096 a| W 26.55 I4 C417c 2010;

596 a| 4;

998 a| 2298883;

999 a| W 26.55 I4 C417C 2010w| NLMc| 1i| 31740007292927d| 2/15/2011f| 2/15/2011g| 1l| HSLBKm| HSLp| $245.00r| Ys| Yt| HBKu| 9/13/2010x| BOOKz| HSTACKSo| .STAFF. herc;

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

Author/creator	Cerrito, Patricia B.
Other author	Cerrito, John, 1954-
Format	Book
Publication Info	Hershey, PA : Medical Information Science Reference, ©2010.
Description	xiv, 356 pages : illustrations ; 29 cm
Subjects	Medical informatics. Data mining. Evidence-based medicine--Data processing. Data Mining. Medical Informatics Computing. Database Management Systems. Decision Making. Evidence-Based Medicine.

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.
Abstract	"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.
Local note	Laupus-WCP
Bibliography note	Includes bibliographical references and index.
LCCN	2010006306
ISBN	9781615209057 (h/c)
ISBN	1615209050 (h/c)

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

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