CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.
Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .
Resultado final
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.
Publicaciones
Autores:
Marc Zobel, Alistair Martin, Jama Nateqi, Bernhard Knapp
Publicado en:
SSRN Electronic Journal, 2020, ISSN 1556-5068
Editor:
SSRN
DOI:
10.2139/ssrn.3729913
Autores:
DGIM
Publicado en:
DMW - Deutsche Medizinische Wochenschrift, Edición 144/15, 2019, Página(s) 1085-1085, ISSN 0012-0472
Editor:
Georg Thieme Verlag
DOI:
10.1055/a-0954-8989
Autores:
Anne Blériot, Franck Le Meur, Guillaume De Chamisso
Publicado en:
Research Square, 2021, ISSN 2693-5015
Editor:
Research Square
DOI:
10.21203/rs.3.rs-157785/v1
Autores:
Alistair Martin, Jama Nateqi, Stefanie Gruarin, Nicolas Munsch, Isselmou Abdarahmane, Marc Zobel, Bernhard Knapp
Publicado en:
Scientific Reports, Edición 10/1, 2020, ISSN 2045-2322
Editor:
Nature Publishing Group
DOI:
10.1038/s41598-020-75912-x
Autores:
Nicolas Munsch, Alistair Martin, Stefanie Gruarin, Jama Nateqi, Isselmou Abdarahmane, Rafael Weingartner-Ortner, Bernhard Knapp
Publicado en:
Journal of Medical Internet Research, Edición 22/10, 2020, Página(s) e21299, ISSN 1438-8871
Editor:
Journal of medical Internet Research
DOI:
10.2196/21299
Autores:
J. Nateqi, S. Lin, H. Krobath, S. Gruarin, T. Lutz, T. Dvorak, A. Gruschina, R. Ortner
Publicado en:
HNO, Edición 67/5, 2019, Página(s) 334-342, ISSN 0017-6192
Editor:
Springer Verlag
DOI:
10.1007/s00106-019-0666-y
Autores:
Nicolas Musch, Stefanie Gruarin, Alistair Martin, Jama Nateqi, Thomas Lutz, Judith H. Aberle, Bernhard Knapp
Publicado en:
medRxiv, 2021
Editor:
medRxiv
DOI:
10.1101/2021.02.24.21252426
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