B. Alsallakh, L. Micallef, W. Aigner, H. Hauser, S. Miksch et al., Visualizing Sets and Set-typed Data: Stateof-the-Art and Future Challenges, Eurographics Conference on Visualization (EuroVis), 2014.

P. Simonetto, D. Auber, and D. Archambault, Fully Automatic Visualisation of Overlapping Sets, Eurographics/ IEEE-VGTC Symposium on Visualization, 2009.
DOI : 10.1111/j.1467-8659.2009.01452.x

URL : https://hal.archives-ouvertes.fr/hal-00407269

B. Alper, N. H. Riche, G. Ramos, and M. Czerwinski, Design Study of LineSets, a Novel Set Visualization Technique, IEEE transactions on visualization and computer graphics, pp.2259-2267, 2011.
DOI : 10.1109/TVCG.2011.186

J. Stasko, C. Görg, Z. Liu, and K. Singhal, Jigsaw: Supporting Investigative Analysis through Interactive Visualization, Information Visualization, vol.13, issue.2, pp.118-132, 2008.
DOI : 10.1057/palgrave.ivs.9500180

B. Alsallakh, W. Aigner, S. Miksch, and H. Hauser, Radial Sets: Interactive Visual Analysis of Large Overlapping Sets, IEEE Transactions on Visualization and Computer Graphics (Proceedings Information Visualization 2013), pp.2496-2505, 2013.
DOI : 10.1109/TVCG.2013.184

C. Wroe, W. Solomon, A. Rector, and J. Rogers, DOPAMINE: a tool for visualizing clinical properties of generic drugs, Proceedings of the Fifth Workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP), pp.61-65, 2000.

M. Iordatii, A. Venot, and C. Duclos, Design and evaluation of a software for the objective and easy-to-read presentation of new drug properties to physicians, BMC Medical Informatics and Decision Making, vol.43, issue.2, p.42, 2015.
DOI : 10.1016/j.jbi.2009.12.001

URL : https://hal.archives-ouvertes.fr/hal-01213039

L. M. Schwartz, S. Woloshin, and H. G. Welch, The Drug Facts Box: Improving the communication of prescription drug information, Proceedings of the National Academy of Sciences, vol.110, issue.Supplement_3, pp.516-543, 2009.
DOI : 10.1073/pnas.1214646110

J. D. Duke, X. Li, and S. J. Grannis, Data visualization speeds review of potential adverse drug events in patients on multiple medications, Journal of Biomedical Informatics, vol.43, issue.2, pp.326-331, 2009.
DOI : 10.1016/j.jbi.2009.12.001

A. Shoshi, T. Hoppe, B. Kormeier, V. Ogultarhan, and R. Hofestädt, GraphSAW: A web-based system for graphical analysis of drug interactions and side effects using pharmaceutical and molecular data, BMC Medical Informatics and Decision Making, vol.9, issue.1, p.139, 2015.
DOI : 10.2142/biophysics.9.113

J. B. Lamy, C. Duclos, A. Bar-hen, P. Ouvrard, and A. Venot, An iconic language for the graphical representation of medical concepts, BMC Medical Informatics and Decision Making, vol.55, issue.2???3, p.16, 2008.
DOI : 10.1016/j.pec.2003.04.006

URL : https://hal.archives-ouvertes.fr/hal-00279981

J. B. Lamy, A. Venot, and C. Duclos, PyMedTermino: an open-source generic API for advanced terminology services, Stud Health Technol Inform, vol.210, pp.924-928, 2015.

S. Schulz and L. Jansen, Formal ontologies in biomedical knowledge representation, Yearb Med Inform, vol.8, pp.132-178, 2013.

A. Bangor, P. Kortum, and J. Miller, Determining what individual SUS score mean: adding an adjective rating scale, J Usability Stud, vol.4, pp.114-123, 2009.

E. Frøkjaer, M. Hertzum, and K. Hornbaek, Measuring Usability: Are Effectiveness, Efficiency, and Satisfaction Really Correlated The Hague, The Netherlands, Proceedings of the ACM CHI 2000 Conference on Human Factors in Computing Systems, pp.345-352, 2000.