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Aurélie Bannay

Biographic Data

ID5540410
NAMEAurélie Bannay
GIVEN NAMESAurélie
FAMILY NAMEBannay
SIGNATUREBANNAY A
ORCID0000-0002-1631-566X
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2016
H-INDEX0
  • The Best Use of the Charlson Comorbidity Index With Electronic Health Care Database to Predict Mortality

    Aurélie Bannay, C Chaignot et al.•ARTICLE•Medical Care•2016•References: 17

    BACKGROUND: The most used score to measure comorbidity is the Charlson index. Its application to a health care administrative database including International Classification of Diseases, 10th edition (ICD-10) codes, medical procedures, and medication required studying its properties on survival. Our objectives were to adapt the Charlson comorbidity index to the French National Health Insurance database to predict 1-year mortality of discharged pa…

No prominent works on this page.

  • The Best Use of the Charlson Comorbidity Index With Electronic Health Care Database to Predict Mortality

    Aurélie Bannay, C Chaignot et al.•ARTICLE•Medical Care•2016•References: 17

    BACKGROUND: The most used score to measure comorbidity is the Charlson index. Its application to a health care administrative database including International Classification of Diseases, 10th edition (ICD-10) codes, medical procedures, and medication required studying its properties on survival. Our objectives were to adapt the Charlson comorbidity index to the French National Health Insurance database to predict 1-year mortality of discharged pa…

Charlson comorbidity index (1 works) · Chronic Disease Management Strategies (1 works) · Comorbidity (1 works) · Computer Science (1 works) · Database (1 works) · Emergency Medicine (1 works) · Emergency Medicine (1 works) · Gerontology (1 works) · Gerontology (1 works) · Index (typography) (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae