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Towards personalized allocation of patients to therapists.

Jaime DelgadilloJulian A RubelMichael Barkham
Published in: Journal of consulting and clinical psychology (2020)
Machine-learning approaches could help to improve treatment outcomes by enabling the strategic allocation of patients to therapists and therapists to supervisors. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Keyphrases
  • end stage renal disease
  • machine learning
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • prognostic factors
  • emergency department
  • artificial intelligence
  • big data
  • adverse drug