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  <titleInfo>
    <title>Clinical data mining for physician decision making and investigating health outcomes</title>
    <subTitle>methods for prediction and analysis</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Cerrito, Patricia B.</namePart>
  </name>
  <name type="personal">
    <namePart>Cerrito, John</namePart>
    <namePart type="date">1954-</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">pau</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Hershey, PA</placeTerm>
    </place>
    <publisher>Medical Information Science Reference</publisher>
    <dateIssued>c2010</dateIssued>
    <dateIssued encoding="marc">2010</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xiv, 356 p. ill. 29 cm.</extent>
  </physicalDescription>
  <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.</abstract>
  <tableOfContents>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.</tableOfContents>
  <note type="statement of responsibility">Patricia Cerrito, John Cerrito, editors.</note>
  <note>"Premier Reference Source" --Cover.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Medical informatics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Evidence-Based Medicine</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Data mining</topic>
  </subject>
  <classification authority="lcc">R859.7.D36 C47 2010</classification>
  <classification authority="ddc" edition="22">610.285 C6413</classification>
  <classification authority="nlm">W 26.55.I4 C6415 2010</classification>
  <identifier type="isbn">9781615209057 (h/c)</identifier>
  <identifier type="isbn">1615209050 (h/c)</identifier>
  <identifier type="lccn">2010006306</identifier>
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    <recordCreationDate encoding="marc">130316</recordCreationDate>
    <recordChangeDate encoding="iso8601">20160527190835.0</recordChangeDate>
    <recordIdentifier>313090</recordIdentifier>
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