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Text mining for efficient search and assisted creation of clinical trials

, , , and . Proceedings of the ACM fifth international workshop on Data and text mining in biomedical informatics, page 43--50. New York, NY, USA, ACM, (2011)
DOI: http://doi.acm.org/10.1145/2064696.2064706

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Text mining for efficient search and assisted creation of clinical trials, , , and . Proceedings of the ACM fifth international workshop on Data and text mining in biomedical informatics, page 43--50. New York, NY, USA, ACM, (2011)An Update Procedure for A Probabilistic Deductive Database.. PRICAI, volume 1114 of Lecture Notes in Computer Science, page 144-156. Springer, (1996)Building intelligent dialog systems., , , and . Intelligence, 10 (1): 14-23 (1999)Detecting and Adapting to Change in User Preference., , and . AAAI Spring Symposium: Challenges to Decision Support in a Changing World, page 87-94. AAAI, (2005)Probabilistic diagnosis as an update problem.. PRICAI Workshops, volume 1359 of Lecture Notes in Computer Science, page 256-266. Springer, (1996)Learning from Sparse Data by Exploiting Monotonicity Constraints, , and . CoRR, (2012)Preference Elicitation via Theory Refinement., , , , and . J. Mach. Learn. Res., (2003)Constructing utility models from observed negotiation actions., and . IJCAI, page 1404-1405. Morgan Kaufmann, (2003)Inferring appropriate eligibility criteria in clinical trial protocols without labeled data., and . DTMBIO@CIKM, page 21-28. ACM, (2012)Learning from Sparse Data by Exploiting Monotonicity Constraints., , and . UAI, page 18-26. AUAI Press, (2005)