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Contribution title Transcending classic status or diagnosis for better monitoring of UHR patients using natural language processing and machine learning models
Contribution code D1.056
Authors
  1. Deok-Hee KIM-DUFOR CHU de Brest
  2. Michel Walter CHU Brest , UBO
  3. Christophe Lemey CEVUP CHRU Brest, Hôpital Morvan Presenter
Form of presentation Poster
Topic
  • Primary Themes
    • 1.03 Diagnosis and Phenomenology
  • Secondary Themes
    • 2.11 Ultra High Risk/Prodromal Research