@article{TEXTUAL,
      recid = {7684},
      author = {Siddique, Juned and Ruhnke, Gregory W. and Flores, Andrea  and Prochaska, Micah T. and Paesch, Elizabeth and Meltzer,  David O. and Whelan, Chad T.},
      title = {Applying Classification Trees to Hospital Administrative  Data to Identify Patients with Lower Gastrointestinal  Bleeding},
      journal = {PLOS ONE},
      address = {2015-09-25},
      number = {TEXTUAL},
      abstract = {<p>Background: Lower gastrointestinal bleeding (LGIB) is a  common cause of acute hospitalization. Currently, there is  no accepted standard for identifying patients with LGIB in  hospital administrative data. The objective of this study  was to develop and validate a set of classification  algorithms that use hospital administrative data to  identify LGIB.</p> <p>Methods: Our sample consists of  patients admitted between July 1, 2001 and June 30, 2003  (derivation cohort) and July 1, 2003 and June 30, 2005  (validation cohort) to the general medicine inpatient  service of the University of Chicago Hospital, a large  urban academic medical center. Confirmed cases of LGIB in  both cohorts were determined by reviewing the charts of  those patients who had at least 1 of 36 principal or  secondary International Classification of Diseases, Ninth  revision, Clinical Modification (ICD-9-CM) diagnosis codes  associated with LGIB. Classification trees were used on the  data of the derivation cohort to develop a set of decision  rules for identifying patients with LGIB. These rules were  then applied to the validation cohort to assess their  performance.</p> <p>Results: Three classification  algorithms were identified and validated: a high  specificity rule with 80.1% sensitivity and 95.8%  specificity, a rule that balances sensitivity and  specificity (87.8% sensitivity, 90.9% specificity), and a  high sensitivity rule with 100% sensitivity and 91.0%  specificity.</p> <p>Conclusion: These classification  algorithms can be used in future studies to evaluate  resource utilization and assess outcomes associated with  LGIB without the use of chart review.</p>},
      url = {http://knowledge.uchicago.edu/record/7684},
}