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Volumn 1, Issue , 2006, Pages 235-239

Approaches to text mining for clinical medical records

Author keywords

Clinical records; Information extraction; Ontology; Relation extraction

Indexed keywords

DATA STRUCTURES; FEATURE EXTRACTION; HOSPITAL DATA PROCESSING; INFORMATION ANALYSIS;

EID: 33751047419     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1141277.1141330     Document Type: Conference Paper
Times cited : (62)

References (19)
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  • 6
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  • 13
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    • (1994) ACM Transactions on Information Systems , vol.12 , Issue.3 , pp. 296-333
    • Riloff, E.1    Lehnert, W.2
  • 15
    • 0003883366 scopus 로고
    • Machine learning of text analysis rules for clinical records
    • University of Massachusetts Amherst
    • Soderland, S., Aronow, D., Fisher, D., Aseltine, J., and Lehnert, W., "Machine Learning of Text Analysis Rules for Clinical Records", CIIR Technical Report, University of Massachusetts Amherst, 1995.
    • (1995) CIIR Technical Report
    • Soderland, S.1    Aronow, D.2    Fisher, D.3    Aseltine, J.4    Lehnert, W.5
  • 17
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    • Learning information extraction rules for semi-structured and free text
    • Soderland, S., "Learning Information Extraction rules for Semi-structured and free text", Machine Learning, Vol. 34, 1998, pp. 233-272.
    • (1998) Machine Learning , vol.34 , pp. 233-272
    • Soderland, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.