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Volumn 1, Issue , 2018, Pages 197-207

A corpus with multi-level annotations of patients, interventions and outcomes to support language processing for medical literature

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

EID: 85062447736     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/p18-1019     Document Type: Conference Paper
Times cited : (171)

References (37)
  • 1
    • 84930938943 scopus 로고    scopus 로고
    • Means: A medical question-answering system combining nlp techniques and semantic web technologies
    • Asma Ben Abacha and Pierre Zweigenbaum. 2015. Means: A medical question-answering system combining nlp techniques and semantic web technologies. Information processing & management, 51(5):570-594.
    • (2015) Information Processing & Management , vol.51 , Issue.5 , pp. 570-594
    • Abacha, A.B.1    Zweigenbaum, P.2
  • 3
    • 84973326541 scopus 로고    scopus 로고
    • A corpus of potentially contradictory research claims from cardiovascular research abstracts
    • Abdulaziz Alamri and Mark Stevenson. 2016. A corpus of potentially contradictory research claims from cardiovascular research abstracts. Journal of biomedical semantics, 7(1):36.
    • (2016) Journal of Biomedical Semantics , vol.7 , Issue.1 , pp. 36
    • Alamri, A.1    Stevenson, M.2
  • 4
    • 77957859521 scopus 로고    scopus 로고
    • Seventy-five trials and eleven systematic reviews a day: How will we ever keep up?
    • Hilda Bastian, Paul Glasziou, and Iain Chalmers. 2010. Seventy-five trials and eleven systematic reviews a day: how will we ever keep up? PLoS medicine, 7(9):e1000326.
    • (2010) PLoS Medicine , vol.7 , Issue.9
    • Bastian, H.1    Glasziou, P.2    Chalmers, I.3
  • 5
    • 85013996372 scopus 로고    scopus 로고
    • Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the prospero registry
    • Rohit Borah, Andrew W Brown, Patrice L Capers, and Kathryn A Kaiser. 2017. Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the prospero registry. BMJ open, 7(2):e012545.
    • (2017) BMJ Open , vol.7 , Issue.2
    • Borah, R.1    Brown, A.W.2    Capers, P.L.3    Kaiser, K.A.4
  • 7
    • 62949126683 scopus 로고    scopus 로고
    • Sentence retrieval for abstracts of randomized controlled trials
    • Grace Y Chung. 2009. Sentence retrieval for abstracts of randomized controlled trials. BMC medical informatics and decision making, 9(1):10.
    • (2009) BMC Medical Informatics and Decision Making , vol.9 , Issue.1 , pp. 10
    • Chung, G.Y.1
  • 9
    • 0003102944 scopus 로고
    • Maximum likelihood estimation of observer error-rates using the em algorithm
    • Alexander Philip Dawid and Allan M Skene. 1979. Maximum likelihood estimation of observer error-rates using the em algorithm. Applied statistics, pages 20-28.
    • (1979) Applied Statistics , pp. 20-28
    • Dawid, A.P.1    Skene, A.M.2
  • 10
    • 34047168718 scopus 로고    scopus 로고
    • Answering clinical questions with knowledge-based and statistical techniques
    • Dina Demner-Fushman and Jimmy Lin. 2007. Answering clinical questions with knowledge-based and statistical techniques. Computational Linguistics, 33(1):63-103.
    • (2007) Computational Linguistics , vol.33 , Issue.1 , pp. 63-103
    • Demner-Fushman, D.1    Lin, J.2
  • 12
  • 14
    • 34047153224 scopus 로고    scopus 로고
    • Evaluation of PICO as a knowledge representation for clinical questions
    • American Medical Informatics Association
    • Xiaoli Huang, Jimmy Lin, and Dina Demner-Fushman. 2006. Evaluation of PICO as a knowledge representation for clinical questions. In AMIA annual symposium proceedings, volume 2006, page 359. American Medical Informatics Association.
    • (2006) AMIA Annual Symposium Proceedings , vol.2006 , pp. 359
    • Huang, X.1    Lin, J.2    Demner-Fushman, D.3
  • 15
    • 84937919492 scopus 로고    scopus 로고
    • Automating data extraction in systematic reviews: A systematic review
    • Siddhartha R Jonnalagadda, Pawan Goyal, and Mark D Huffman. 2015. Automating data extraction in systematic reviews: a systematic review. Systematic reviews, 4(1):78.
    • (2015) Systematic Reviews , vol.4 , Issue.1 , pp. 78
    • Jonnalagadda, S.R.1    Goyal, P.2    Huffman, M.D.3
  • 19
    • 0028230073 scopus 로고
    • Understanding and using the medical subject headings (mesh) vocabulary to perform literature searches
    • Henry J Lowe and G Octo Barnett. 1994. Understanding and using the medical subject headings (mesh) vocabulary to perform literature searches. Jama, 271(14):1103-1108.
    • (1994) Jama , vol.271 , Issue.14 , pp. 1103-1108
    • Lowe, H.J.1    Octo Barnett, G.2
  • 20
    • 58149237022 scopus 로고    scopus 로고
    • Evaluation of query expansion using mesh in pubmed
    • Zhiyong Lu, Won Kim, and W John Wilbur. 2009. Evaluation of query expansion using mesh in pubmed. Information retrieval, 12(1):69-80.
    • (2009) Information Retrieval , vol.12 , Issue.1 , pp. 69-80
    • Lu, Z.1    Kim, W.2    John Wilbur, W.3
  • 33
    • 84872733948 scopus 로고    scopus 로고
    • The automation of systematic reviews
    • Guy Tsafnat, Adam Dunn, Paul Glasziou, Enrico Coiera, et al. 2013. The automation of systematic reviews. BMJ, 346(f139):1-2.
    • (2013) BMJ , vol.346 , Issue.F139 , pp. 1-2
    • Tsafnat, G.1    Dunn, A.2    Glasziou, P.3    Coiera, E.4
  • 36
    • 84989205130 scopus 로고    scopus 로고
    • Extracting PICO sentences from clinical trial reports using supervised distant supervision
    • Byron C Wallace, Joël Kuiper, Aakash Sharma, Mingxi Brian Zhu, and Iain J Marshall. 2016. Extracting PICO sentences from clinical trial reports using supervised distant supervision. Journal of Machine Learning Research, 17(132):1-25.
    • (2016) Journal of Machine Learning Research , vol.17 , Issue.132 , pp. 1-25
    • Wallace, B.C.1    Kuiper, J.2    Sharma, A.3    Zhu, M.B.4    Marshall, I.J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.