Using clinical preferences in argumentation about evidence from clinical trials

IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium

Volumn , Issue , 2010, Pages 118-127

  Hunter, Anthony ^a   Williams, Matthew ^b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b ROYAL FREE HOSPITAL   (United Kingdom)

Author keywords

aggregation of information; argument systems; biomedical knowledge representation; evidence based decision making; medical decision support

Indexed keywords

AGGREGATION OF INFORMATION; ARGUMENT SYSTEMS; BIOMEDICAL KNOWLEDGE REPRESENTATION; EVIDENCE-BASED DECISION MAKING; MEDICAL DECISIONS;

DECISION MAKING; DECISION SUPPORT SYSTEMS; EXPERIMENTS; INFORMATION SCIENCE; MEDICINE; RATING;

KNOWLEDGE REPRESENTATION;

EID: 78650961817     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1882992.1883011     Document Type: Conference Paper

References (19)

1. F. Baader, D. Calvanese, D. McGuinness, D. Nardi, and P. Patel-Schneider, editors. The description logic handbook: theory, implementation, and applications. Cambridge University Press, New York, NY, USA, 2003.
2. T. Bench-Capon and P. Dunne. Argumentation in artificial intelligence. Artificial Intelligence, 171(10-15):619-641, 2007.
3. Ph.. Besnard and A. Hunter. Elements of Argumentation. MIT Press, 2008.
4. P. Dung. On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming, and n-person games. Artificial Intelligence, 77:321-357, 1995.
5. P. Dung, R. Kowalski, and F. Toni. Dialectical proof procedures for assumption-based admissible argumentation. Artificial Intelligence, 170:114-159, 2006.
6. U. Egly, S. A. Gaggl, and S. Woltran. Aspartix: Implementing argumentation frameworks using answer-set programming. In ICLP, pages 734-738, 2008.
7. J. Fox and S. Das. Safe and Sound: Artificial Intelligence in Hazardous Applications. MIT Press, 2000.
8. N. Gorogiannis, A. Hunter, V. Patkar, and M. Williams. Argumentation about treatment efficacy. In Knowledge Representation for Healthcare (KR4HC), volume 5943 of LNCS, pages 169-179. Springer, 2010.
9. N. Gorogiannis, A. Hunter, and M. Williams. An argument-based approach to reasoning with clinical knowledge. International Journal of Approximate Reasoning, 51(1):1-22, 2009.
10. G. Guyatt, A. Oxman, G. Vist, R. Kunz, Y. Falck-Ytter, P. Alonso-Coelle, and H. Schünemann. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. British Medical Journal, 336(7650):924-926, 2008.
11. A. Hackshaw. A Concise Guide to Clinical Trials. WileyBlackwell, 2009.
12. A. Hunter and M. Williams. Argumentation for aggregating clinical evidence. In Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2010). IEEE Computer Society Press, 2010.
13. I. H. T. S. D. Organisation. Systematized Nomenclature of Medicine-Clinical Terms.
14. V. Patkar, C. Hurt, R. Steele, S. Love, A. Purushotham, M. Williams, R. Thomson, and J. Fox. Evidence-based guidelines and decision support services: adiscussion and evaluation in triple assessment of suspectedbreast cancer. British Journal of Cancer, 95(11):1490-1496, 2006.
15. N. Sioutos, S. de Coronado, M. W. Haber, F. W. Hartel, W. L. Shaiu, and L. W. Wright. Nci thesaurus: a semantic model integrating cancer-related clinical and molecular information. Journal of biomedical informatics, 40(1):30-43, February 2007.
16. M. South, G Vreeswijk, and J Fox. Dungine: A Java Dung Reasoner. In Computational Models of Argument (COMMA 2008), pages 360-369. IOS Press Press, 2008.
17. P. Tolchinsky, U. Cortés, S. Modgil, and F. C. A. López-Navidad. Increasing human-organ transplant availability: argumentation-based agent deliberation. IEEE Intelligent Systems, 21(6):30-37, 2006.
18. R. Walton, C. Gierl, P. Yudkin, H. Mistry, M. Vessey, and J. Fox. Evaluation of computer support for prescribing (CAPSULE). British Medical Journal, 315:791-795, 1997.
19. M. Williams and A. Hunter. Harnessing ontologies for argument-based decision-making in breast cancer. In Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), volume 2, pages 254-261. IEEE Computer Society Press, 2007.