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Volumn 1178, Issue , 2012, Pages

Machine reading of biomedical texts about Alzheimer's disease

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER'S DISEASE; BACK-GROUND KNOWLEDGE; BIOMEDICAL TEXT; PILOT TASKS; QUESTION ANSWERING; SET OF QUESTIONS;

EID: 84922051494     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (12)
  • 1
    • 46249118019 scopus 로고    scopus 로고
    • A new text mining approach for finding protein-todisease associations
    • Al-Mubaid, H., Singh, R. : A new text mining approach for finding protein-todisease associations. American Journal of Biochemistry and Biotechnology 1(3), 145-152 (2009)
    • (2009) American Journal of Biochemistry and Biotechnology , vol.1 , Issue.3 , pp. 145-152
    • Al-Mubaid, H.1    Singh, R.2
  • 3
    • 0345863927 scopus 로고    scopus 로고
    • The unified medical language system (UMLS): Integrating biomedical terminology
    • Bodenreider, O. : The unified medical language system (UMLS): Integrating biomedical terminology. Nucleic Acids Research 32(Suppl. 1):D267D270 (2014)
    • (2014) Nucleic Acids Research , vol.32 , pp. D267D270
    • Bodenreider, O.1
  • 11
    • 25144520247 scopus 로고    scopus 로고
    • ABNER: An open source tool for automatically tagging genes, proteins and other entity names in texts
    • Settles, B. : ABNER: an open source tool for automatically tagging genes, proteins and other entity names in texts. Bioinformatics 21(14), 3191-3192 (2005)
    • (2005) Bioinformatics , vol.21 , Issue.14 , pp. 3191-3192
    • Settles, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.