Detecting early signs of depressive and manic episodes in patients with bipolar disorder using the signature-based model

Understand

Recurrent major mood episodes and subsyndromal mood instability cause substantial disability in patients with bipolar disorder.

• Early identification of mood episodes enabling timely mood stabilisation is an important clinical goal.
• Recent technological advances allow the prospective reporting of mood in real time enabling more accurate, efficient data capture.
• The complex nature of these data streams in combination with challenge of deriving meaning from missing data mean pose a significant analytic challenge.