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 DalknerPublished 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.