Suominen, HannaKelly, L.Goeuriot, LorraineNeveol, AurelieRamadier, LionelRobert, AudeKanoulas, EvangelosSpijker, ReneAzzopardi, L.Li, D.JimmyPalotti, JoaoZuccon, GuidoSanJuan, EMurtagh, FNie, J YSoulier, LCappellato, LBellot, PMothe, J2024-02-12September978-331998931-0http://hdl.handle.net/1885/313413In this paper, we provide an overview of the sixth annual edition of the CLEF eHealth evaluation lab. CLEF eHealth 2018 continues our evaluation resource building efforts around the easing and support of patients, their next-of-kins, clinical staff, and health scientists in understanding, accessing, and authoring eHealth information in a multilingual setting. This year’s lab offered three tasks: Task 1 on multilingual information extraction to extend from last year’s task on French and English corpora to French, Hungarian, and Italian; Task 2 on technologically assisted reviews in empirical medicine building on last year’s pilot task in English; and Task 3 on Consumer Health Search (CHS) in mono- and multilingual settings that builds on the 2013–17 Information Retrieval tasks. In total 28 teams took part in these tasks (14 in Task 1, 7 in Task 2 and 7 in Task 3). Herein, we describe the resources created for these tasks, outline our evaluation methodology adopted and provide a brief summary of participants of this year’s challenges and results obtained. As in previous years, the organizers have made data and tools associated with the lab tasks available for future research and development.The CLEF eHealth 2018 evaluation lab has been supported in part by (in alphabetical order) the ANU, the CLEF Initiative, the Data61/CSIRO, and the French National Research Agency (ANR), under grant CABeRneT ANR-13-JS02- 0009-01.application/pdfen-AU© Springer Nature Switzerland AG 2018EvaluationEntity linkingInformation retrieval Health recordsInformation extractionMedical informatics Systematic reviewsTotal recallTest-set generation Text classificationText segmentationSelf-diagnosis201810.1007/978-3-319-98932-7_262022-10-02