A probabilistic framework for predicting disease dynamics: A case study of psychotic depression

Marcos L.P. Bueno*, Arjen Hommersom, Peter J.F. Lucas, Joost Janzing

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Article number103232
Number of pages12
JournalJournal of Biomedical Informatics
Volume95
DOIs
Publication statusPublished - Jul 2019

Keywords

  • Machine learning
  • Psychiatry
  • Depression
  • Temporal data
  • Latent variables
  • Hidden Markov model
  • HIDDEN MARKOV-MODELS
  • ASSOCIATION
  • SYMPTOM

Fingerprint

Dive into the research topics of 'A probabilistic framework for predicting disease dynamics: A case study of psychotic depression'. Together they form a unique fingerprint.

Cite this