Multimodal digital phenotyping of bipolar disorder subtypes: Differences between bipolar disorder I and II based on passive and active behavioral features from smartphones.

Abstract excerpt

BACKGROUND: Distinguishing between bipolar disorder type I and II constitutes a significant clinical challenge that relies on retrospective patient recall. Misclassification carries risks of inappropriate pharmacological management. Digital phenotyping offers a potential objective solution by monitoring behavioral biomarkers via smartphones. This study evaluated whether passive sensing data alone, or a multimodal...

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• Bipolar Disorder
• Machine Learning
• Phenotype
• Smartphone