Automated disambiguation of acronyms and abbreviations in clinical texts: window and training size considerations.

AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

Volumn 2012, Issue , 2012, Pages 1310-1319

  Moon, Sungrim ^a   Pakhomov, Serguei ^b   Melton, Genevieve B ^b  

^a UNIVERSITY OF MINNESOTA   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; DECISION TREE; ELECTRONIC MEDICAL RECORD; NATURAL LANGUAGE PROCESSING; NOMENCLATURE; SUPPORT VECTOR MACHINE;

ABBREVIATIONS AS TOPIC; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; DECISION TREES; ELECTRONIC HEALTH RECORDS; NATURAL LANGUAGE PROCESSING; SUPPORT VECTOR MACHINES;

EID: 84880809454     PISSN: None     EISSN: 1942597X     Source Type: None    
DOI: None     Document Type: Article

References (0)