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Dynamic time warp analysis of individual symptom trajectories in individuals with bipolar disorder.

Rahele MesbahManja A KoendersA T SpijkerM de LeeuwA M van HemertE J Giltay
Published in: Bipolar disorders (2023)
Dynamic Time Warp may help to capture meaningful BD symptom interactions from panel data with sparse observations. It may increase insight into the temporal dynamics of symptoms, as those with high out-strength (rather than high in-strength) could be promising targets for intervention.
Keyphrases
  • bipolar disorder
  • randomized controlled trial
  • major depressive disorder
  • electronic health record
  • depressive symptoms
  • big data
  • artificial intelligence
  • machine learning