Development and validation of a structured query language implementation of the Elixhauser comorbidity index | Zendy

Richard H. Epstein | Zendy; Franklin Dexter | Zendy

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Development and validation of a structured query language implementation of the Elixhauser comorbidity index

Author(s) -

Richard H. Epstein,

Franklin Dexter

Publication year - 2017

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocw181

Subject(s) - comorbidity , sql , computer science , diagnosis code , preprocessor , data mining , index (typography) , code (set theory) , database , medicine , artificial intelligence , programming language , population , environmental health , set (abstract data type)

Comorbidity adjustment is often performed during outcomes and health care resource utilization research. Our goal was to develop an efficient algorithm in structured query language (SQL) to determine the Elixhauser comorbidity index.

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