Hélène Berthelot
University of Paris
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Featured researches published by Hélène Berthelot.
Journal of Biomedical Informatics | 2017
Jean-Baptiste Lamy; Hélène Berthelot; Madeleine Favre; Adrien Ugon; Catherine Duclos; Alain Venot
OBJECTIVE When a new drug is marketed, physicians must decide whether they will consider it for their future practice. However, information about new drugs can be biased or hard to find. In this work, our objective was to study whether visual analytics could be used for comparing drug properties such as contraindications and adverse effects, and whether this visual comparison can help physicians to forge their own well-founded opinions about a new drug. MATERIALS AND METHODS First, an ontology for comparative drug information was designed, based on the expectations expressed during focus groups comprised of physicians. Second, a prototype of a visual drug comparator website was developed. It implements several visualization methods: rainbow boxes (a new technique for overlapping set visualization), dynamic tables, bar charts and icons. Third, the website was evaluated by 22 GPs for four new drugs. We recorded the general satisfaction, the physicians decision whether to consider the new drug for future prescription, both before and after consulting the website, and their arguments to justify their choice. RESULTS The prototype website permits the visual comparison of up to 10 drugs, including efficacy, contraindications, interactions, adverse effects, prices, dosage regimens,…All physicians found that the website allowed them to forge a well-founded opinion on the four new drugs. The physicians changed their decision about using a new drug in their future practice in 29 cases (out of 88) after consulting the website. DISCUSSION AND CONCLUSION Visual analytics is a promising approach for presenting drug information and for comparing drugs. The visual comparison of drug properties allows physicians to forge their opinions on drugs. Since drug properties are available in reference texts, reviewed by public health agencies, it could contribute to the independent of drug information.
2016 20th International Conference Information Visualisation (IV) | 2016
Jean-Baptiste Lamy; Hélène Berthelot; Madeleine Favre
Overlapping set visualization is a well-known problem in information visualization. This problem considers elements and sets containing all or part of the elements, a given element possibly belonging to more than one set. A typical example is the properties of the 20 amino-acids. A more complex application is the visual comparison of the contraindications or the adverse effects of several similar drugs. The knowledge involved is voluminous, each drug has many contraindications and adverse effects, some of them are shared with other drugs. In this paper, we present rainbow boxes, a novel technique for visualizing overlapping sets, and its application to the properties of amino-acids and to the comparison of drug properties. We also describe a user study comparing rainbow boxes to tables and showing that the former allowed physicians to find information significantly faster. We finally discuss the limits and the perspectives of rainbow boxes.
Journal of Visual Languages and Computing | 2017
Jean-Baptiste Lamy; Hélène Berthelot; Coralie Capron; Madeleine Favre
Overlapping set visualization is a well-known problem in information visualization. This problem considers elements and sets containing all or part of the elements, a given element possibly belonging to more than one set. A typical example is the properties of the 20 amino-acids. A more complex application is the visual comparison of the contraindications or the adverse effects of several similar drugs. The knowledge involved is voluminous, each drug has many contraindications and adverse effects, some of them are shared with other drugs. Another real-life application is the visualization of gene annotation, each gene product being annotated with several annotation terms indicating the associated biological processes, molecular functions and cellular components. In this paper, we present rainbow boxes, a novel technique for visualizing overlapping sets, and its application to the presentation of the properties of amino-acids, the comparison of drug properties, and the visualization of gene annotation. This technique requires solving a combinatorial optimization problem; we propose a specific heuristic and we evaluate and compare it to general optimization algorithms. We also describe a user study comparing rainbow boxes to tables and showing that the former allowed physicians to find information significantly faster. Finally, we discuss the limits and the perspectives of rainbow boxes.
medical informatics europe | 2016
Jean-Baptiste Lamy; Adrien Ugon; Hélène Berthelot
IC2015 | 2015
Jean-Baptiste Lamy; Hélène Berthelot
International Conference on Decision Support System Technology | 2017
Jean-Baptiste Lamy; Adrien Ugon; Hélène Berthelot; Madeleine Favre
28es Journées francophones d'Ingénierie des Connaissances IC 2017 | 2017
Jean-Baptiste Lamy; Adrien Ugon; Catherine Duclos; Alain Venot; Madeleine Favre; Hélène Berthelot
Conférence Nationale en Intelligence Artificielle (CNIA) | 2016
Jean-Baptiste Lamy; Hélène Berthelot; Madeleine Favre
Studies in health technology and informatics | 2015
Adrien Ugon; Hélène Berthelot; Alain Venot; Madeleine Favre; Catherine Duclos; Jean-Baptiste Lamy
3ème Symposium Ingénierie de l’Information Médicale (SIIM 2015) | 2015
Jean-Baptiste Lamy; Adrien Ugon; Madeleine Favre; Catherine Duclos; Alain Venot; Hélène Berthelot