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Machine-based learning of multidimensional data in bipolar disorder - pilot results.

Armin BirnerMarco MairingerClemens ElstAlexander MagetFrederike Tabea FellendorfMartina PlatzerRobert QueissnerMelanie LengerAdelina Tmava-BerishaSusanne A BengesserEva Z ReininghausMarkus KreuzthalerNina Dalkner
Published in: Bipolar disorders (2024)
Using these data for clinical application results in an acceptable performance, but has not yet reached a state where it can sufficiently augment a diagnosis made by an experienced clinician. Therefore, further research should focus on identifying variables with the highest amount of contribution to a model's classification.
Keyphrases
  • bipolar disorder
  • electronic health record
  • deep learning
  • big data
  • major depressive disorder
  • machine learning
  • study protocol
  • randomized controlled trial
  • artificial intelligence