Your browser doesn't support javascript.
loading
An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records.
Schildcrout, Jonathan S; Basford, Melissa A; Pulley, Jill M; Masys, Daniel R; Roden, Dan M; Wang, Deede; Chute, Christopher G; Kullo, Iftikhar J; Carrell, David; Peissig, Peggy; Kho, Abel; Denny, Joshua C.
Affiliation
  • Schildcrout JS; Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN 37232-2156, USA. jonathan.schildcrout@vanderbilt.edu
J Biomed Inform ; 43(6): 914-23, 2010 Dec.
Article in En | MEDLINE | ID: mdl-20688191
Subject(s)
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Morbidity / Electronic Health Records Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: J Biomed Inform Journal subject: INFORMATICA MEDICA Year: 2010 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Morbidity / Electronic Health Records Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: J Biomed Inform Journal subject: INFORMATICA MEDICA Year: 2010 Document type: Article Affiliation country: United States Country of publication: United States