![Medical classification / Unified Medical Language System / SNOMED CT / Document retrieval / Query expansion / Search engine indexing / International Statistical Classification of Diseases and Related Health Problems / Query / Full text search / Information science / Information retrieval / Searching Medical classification / Unified Medical Language System / SNOMED CT / Document retrieval / Query expansion / Search engine indexing / International Statistical Classification of Diseases and Related Health Problems / Query / Full text search / Information science / Information retrieval / Searching](https://www.pdfsearch.io/img/07c634a29a9708106706bec2a3799aec.jpg) Date: 2013-02-12 08:11:20Medical classification Unified Medical Language System SNOMED CT Document retrieval Query expansion Search engine indexing International Statistical Classification of Diseases and Related Health Problems Query Full text search Information science Information retrieval Searching | | Identifying Patients for Clinical Studies from Electronic Health Records: TREC 2012 Medical Records Track at OHSU Steven Bedrick1, Tracy Edinger2, Aaron Cohen2, William Hersh2 2Add to Reading ListSource URL: trec.nist.govDownload Document from Source Website File Size: 346,11 KBShare Document on Facebook
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