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The association between clinical, sociodemographic, familial, and environmental factors and treatment resistance in schizophrenia: A machine-learning-based approach.

Carmen F M van HooijdonkMarieke van der PluijmBart M de VriesMatthijs CysouwBehrooz Z AlizadehClaudia J P SimonsTherese A M J van AmelsvoortJan BooijJean-Paul SeltenLieuwe de HaanFrederike SchirmbeckElsmarieke van de Giessen
Published in: Schizophrenia research (2023)
We demonstrate that various clinical, sociodemographic, familial, and environmental variables are associated with TRS. Our models only showed modest performance in predicting TRS. Prospective large multi-centre studies are needed to validate our findings and investigate whether the model's performance can be improved by adding data from different modalities.
Keyphrases
  • machine learning
  • early onset
  • big data
  • data analysis