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Predicting one-year outcome in first episode psychosis using machine learning.

Samuel P LeightonRajeev KrishnadasKelly ChungAlison BlairSusie BrownSuzy ClarkKathryn SowerbuttsMatthias SchwannauerJonathan CavanaghAndrew I Gumley
Published in: PloS one (2019)
Using advanced statistical machine learning techniques, we provide the first externally validated evidence, in a temporally and geographically independent cohort, for the ability to predict one-year EET status and symptom remission in individual FEP patients.
Keyphrases
  • machine learning
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • prognostic factors
  • patient reported