Search Results for author: Andrea Cipriani

Found 1 papers, 1 papers with code

Detecting the Clinical Features of Difficult-to-Treat Depression using Synthetic Data from Large Language Models

1 code implementation12 Feb 2024 Isabelle Lorge, Dan W. Joyce, Niall Taylor, Alejo Nevado-Holgado, Andrea Cipriani, Andrey Kormilitzin

Difficult-to-treat depression (DTD) has been proposed as a broader and more clinically comprehensive perspective on a person's depressive disorder where despite treatment, they continue to experience significant burden.

Language Modelling Large Language Model

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