Description: In the context of prenatal diagnosis of fetal malformation, knowledge of "similar'' and resolved cases (i.e. previous cases with a diagnosis validated by fetal post-mortem examination) is essential for diagnosis orientation. Therefore, access to biomedical data collected over the years by fetopathological experts is crucial.This work addresses the imperious need to gather all the fetopathological data and to make it easily accessible for an effective use of this collective memory. Our research hypothesis is that scanning fetopathological medical records will bring added value in terms of knowledge, allowing the design of a fetal abnormalities knowledge-base. The medical records will be structured and enriched by indexing using ontological and terminological resources and their links with external knowledge (publications, databases). Semantic and linguistic processes will provide access to similar cases.

Institution: Inserm, Paris, France

Contacts: Jean Charlet, Xavier Aim, Andreea Bodnari, Jean-Michel Daube, Louise Delger, Ferdinand Dhombres, Egle Eensoo, Marie Gonzals, Brigitte Grau, Cyril Grouin, Marie-Christine Jaulent, Thomas Lavergne, Anne-Laure Ligozat, Jrme Mainka, Aurlie Nvol, Yves

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