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Individualized post-crisis monitoring of psychiatric patients via Hidden Markov models.

Roger GarrigaVicenç GómezGábor Lugosi
Published in: Frontiers in digital health (2024)
The simulation results provide compelling evidence that the method is effective under the specified assumptions. When applied to actual psychiatric patients, the proposed policy showed significant potential for providing an individualized assessment of the required duration for close and automatic monitoring after a mental health crisis to reduce the relapse risks.
Keyphrases
  • mental health
  • public health
  • end stage renal disease
  • newly diagnosed
  • prognostic factors
  • healthcare
  • machine learning
  • risk assessment
  • human health
  • virtual reality