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A Comprehensive Index for Predicting Risk of Anemia from Patients' Diagnoses.
Tuck, Matthew G; Alemi, Farrokh; Shortle, John F; Avramovic, Sanj; Hesdorffer, Charles.
Affiliation
  • Tuck MG; 1 Veterans Affairs Medical Center , Washington, District of Columbia.
  • Alemi F; 2 Department of Health Administration and Policy, George Mason University , Fairfax, Virginia.
  • Shortle JF; 3 Systems Engineering and Operations Research, George Mason University , Fairfax, Virginia.
  • Avramovic S; 2 Department of Health Administration and Policy, George Mason University , Fairfax, Virginia.
  • Hesdorffer C; 1 Veterans Affairs Medical Center , Washington, District of Columbia.
Big Data ; 5(1): 42-52, 2017 03.
Article in En | MEDLINE | ID: mdl-28328253
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Full text: 1 Database: MEDLINE Main subject: Risk Assessment / Anemia Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Big Data Year: 2017 Type: Article
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Risk Assessment / Anemia Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Big Data Year: 2017 Type: Article