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User intent behind medical queries: an evaluation of entity mapping approaches with metamap and freebase.

, , and . IIiX, page 283-286. ACM, (2014)

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Leveraging Wikipedia's Article Structure to Build Search Agents: TUW at CLEF 2017 Dynamic Search.. CLEF (Working Notes), volume 1866 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Exploring Understandability Features to Personalize Consumer Health Search. TUW at CLEF 2017 eHealth., and . CLEF (Working Notes), volume 1866 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)TrecTools: an Open-source Python Library for Information Retrieval Practitioners Involved in TREC-like Campaigns., , and . SIGIR, page 1325-1328. ACM, (2019)Overview of the CLEF eHealth Evaluation Lab 2019., , , , , , , , , and 1 other author(s). CLEF, volume 11696 of Lecture Notes in Computer Science, page 322-339. Springer, (2019)Estimating the Credibility of Examples in Automatic Document Classification., , , , , and . J. Inf. Data Manag., 1 (3): 439-454 (2010)Beyond Topical Relevance: Studying Understandability and Reliability in Consumer Health Search.. SIGIR, page 1167. ACM, (2016)Making Sense of Sleep: Multimodal Sleep Stage Classification in a Large, Diverse Population Using Movement and Cardiac Sensing., , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 4 (2): 67:1-67:33 (2020)Benchmark on a large cohort for sleep-wake classification with machine learning techniques., , , , , , , and . npj Digit. Medicine, (2019)Analyzing security and energy tradeoffs in autonomic capacity management., , , , and . NOMS, page 302-309. IEEE, (2008)The future of sleep health: a data-driven revolution in sleep science and medicine., , , , , , , , and . npj Digit. Medicine, (2020)