Automatically extracting sentences from medline citations to support clinicians' information needs

Proceedings - 2012 IEEE 2nd Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2012

Volumn , Issue , 2012, Pages 72-

  Jonnalagadda, Siddhartha ^a   Fiol, Guilherme Del ^b   Medlin, Richard ^c   Weir, Charlene ^b   Fiszman, Marcelo ^d   Mostafa, Javed ^c   Liu, Hongfang ^a  

^a MAYO CLINIC   (United States)

^b UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF NORTH CAROLINA   (United States)

^d NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

clinical decision support; information needs; knowledge summary; natural language processing

Indexed keywords

ALZHEIMER'S DISEASE; CLINICAL DECISION SUPPORT; FACTUAL KNOWLEDGE; INFORMATION NEED; KNOWLEDGE RESOURCE; KNOWLEDGE SUMMARY; MEDLINE; NATURAL LANGUAGE PROCESSING; POINT OF CARE; SEMANTIC INFORMATION;

DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; INFORMATION RETRIEVAL SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

INFORMATION SCIENCE;

EID: 84871956368     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HISB.2012.22     Document Type: Conference Paper

References (3)

1. M. Torii, K. Wagholikar, and H. Liu, "Using machine learning for concept extraction on clinical documents from multiple data sources," Journal of the American Medical Informatics Association : JAMIA, vol. 18, pp. 580-7, Sep-Oct 2011.
2. T. C. Rindflesch and M. Fiszman, "The interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text," J Biomed Inform, vol. 36, pp. 462-77, Dec 2003.
3. R. Mihalcea and P. Tarau, "TextRank: Bringing order into texts," in Association of Computational Linguistics, 2004, pp. 404-411.