What we do

In the Text Mining Group, we carry out activities in semantic interoperability and text analytics applied to the health and life sciences. Previously hosted by the Radiology and Medical Informatics Department of the University Hospitals of Geneva, our group moved to the University of Applied Sciences Geneva (HES-SO- HEG Geneva) in 2008. We develop text mining solutions to support both the annotation of curated databases and the work of a wide range of biomedical professionals from drug designers to clinicians. We thus develop specific biomedical decision-support systems, in particular in oncology and molecular pathology.

Find out more about the Group’s activities

Main publications 2018

  • Britan A et al.
    Accelerating annotation of articles via automated approaches: evaluation of the neXtA5 curation-support tool by neXtProt.
    Database, doi: 10.1093/database/bay129
  • Gobeill J et al.
    Overview of the BioCreative VI text-mining services for Kinome Curation Track.
    Database, doi: 10.1093/database/bay104
  • Niveau G et al.
    Suicide notes: their utility in understanding the motivations behind suicide and preventing future ones.
    Arch Suicide Res, doi: 10.1080/13811118.2018.1480985


University geneva

Patrick Ruch
Text Mining
HES-SO - Geneva School of Business Administration (HEG)
Group Webpage

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Domain(s) of activity:

  • Text mining and machine learning
  • Database curation
  • Data management
  • Electronic health record
  • Oncology
  • Software engineering

Domain(s) of application:

  • Medicine and health