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DTSTART;TZID=Europe/Paris:20241003T193000
DTEND;TZID=Europe/Paris:20241003T210000
DTSTAMP:20240828T221404Z
CREATED:20240828T220907Z
LAST-MODIFIED:20240828T221404Z
UID:19094-1727983800-1727989200@i3-cnrs.fr
SUMMARY:Will health prevention be algorithmic?
DESCRIPTION:The field of mental health is particularly well-suited to developments in AI. Even if most of these approaches are still at an experimental stage\, they open up the prospect of personalised treatment paths\, both because of the increased predictive capacity for the evolution of illnesses and because of more appropriate exchanges with patients. A good example of this is the possibility of predicting episodes of severe depression using physiological factors processed by Machine Learning. However\, the complexity of the clinical and psycho-social factors to be taken into account makes the application of these innovations still tricky. On the other hand\, the analysis of data from medical records using natural language methods is progressing by leaps and bounds\, opening up complementary perspectives. \n  \npresented by: \n\n \n\n                          Guillaume Couillard                              Pr Étienne Minvielle \n      DG du GHU Paris Psychiatrie et Neurosciences                          Professeur à l’Ecole polytechnique\n \n                                                                                                       Directeur de Recherche CNRS\, Médecin \n                                                                                                       de santé publique \n \n                            Pr Pierre Alexis Geoffroy                   Pr Raphaël Gaillard              Pr Jean-Baptiste Masson \n                        GHU Paris Psychiatrie                      GHU Paris Psychiatrie         Chercheur à l’institut Pasteur \n                       et Santé Sciences                                 et Santé Sciences \n\nTo register
URL:https://i3-cnrs.fr/en/evenement/la-prevention-en-sante-sera-t-elle-algorithmique/
LOCATION:GRU Paris\, 1 rue Cabanis Site Cabanis - Grand Amphi\, PARIS\, 75014\, France
CATEGORIES:Seminaires
ATTACH;FMTTYPE=image/jpeg:https://i3-cnrs.fr/wp-content/uploads/2024/08/Sante.jpg
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