CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.
Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .
Livrables
D3.1 Spanish, Japanese, and Arabic version of Symptoma released.T3.1 Pre-translation engine: translating our ontology in the respective language via machine translation (aggregating results of Google, Bing, Yandex, and Deepl) and medical databases such as Orpha.net, Wikipedia, and the International Classification of Diseases.T3.2 Review process: carried out redundantly by native-speaking medical professionals. We will provide a platform to review each pre-translation within the context of the original concept. T3.3 Data mining: articles from Pubmed, eBooks, journals, and the Web for each language version. For each translation analyzing whether those phrases are being used in context of the associated concepts (e.g. are the right symptoms mentioned alongside the suggested disease name?).T3.4 Localization: of Symptoma to Spanish, Japanese, and Arabic using our new localization engine.
D2.2 Release question sequences derived from deep learning algorithms.D2.2 Release question sequences derived from deep learning algorithms. T2.2 Train chatbot: utilizing the same case reports as in WP1. However, instead of searching with all symptoms extracted from the respective case, we start with one symptom only. Deep learning algorithms will then arrive at the best question sequence uncovering the other symptoms thus leading to the right diagnosis. Question sequences should then work for all 44,000 conditions in our database while accounting for disease incidences (a more common disease should have a higher priority than a rare one).T2.3 Test chatbot: in production. As in WP1, we will release question sequences to production, monitor search signals indicating successful questions, and continuously optimize for it.
Publications
Auteurs:
Marc Zobel, Alistair Martin, Jama Nateqi, Bernhard Knapp
Publié dans:
SSRN Electronic Journal, 2020, ISSN 1556-5068
Éditeur:
SSRN
DOI:
10.2139/ssrn.3729913
Auteurs:
DGIM
Publié dans:
DMW - Deutsche Medizinische Wochenschrift, Numéro 144/15, 2019, Page(s) 1085-1085, ISSN 0012-0472
Éditeur:
Georg Thieme Verlag
DOI:
10.1055/a-0954-8989
Auteurs:
Anne Blériot, Franck Le Meur, Guillaume De Chamisso
Publié dans:
Research Square, 2021, ISSN 2693-5015
Éditeur:
Research Square
DOI:
10.21203/rs.3.rs-157785/v1
Auteurs:
Alistair Martin, Jama Nateqi, Stefanie Gruarin, Nicolas Munsch, Isselmou Abdarahmane, Marc Zobel, Bernhard Knapp
Publié dans:
Scientific Reports, Numéro 10/1, 2020, ISSN 2045-2322
Éditeur:
Nature Publishing Group
DOI:
10.1038/s41598-020-75912-x
Auteurs:
Nicolas Munsch, Alistair Martin, Stefanie Gruarin, Jama Nateqi, Isselmou Abdarahmane, Rafael Weingartner-Ortner, Bernhard Knapp
Publié dans:
Journal of Medical Internet Research, Numéro 22/10, 2020, Page(s) e21299, ISSN 1438-8871
Éditeur:
Journal of medical Internet Research
DOI:
10.2196/21299
Auteurs:
J. Nateqi, S. Lin, H. Krobath, S. Gruarin, T. Lutz, T. Dvorak, A. Gruschina, R. Ortner
Publié dans:
HNO, Numéro 67/5, 2019, Page(s) 334-342, ISSN 0017-6192
Éditeur:
Springer Verlag
DOI:
10.1007/s00106-019-0666-y
Auteurs:
Nicolas Musch, Stefanie Gruarin, Alistair Martin, Jama Nateqi, Thomas Lutz, Judith H. Aberle, Bernhard Knapp
Publié dans:
medRxiv, 2021
Éditeur:
medRxiv
DOI:
10.1101/2021.02.24.21252426
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