Using speech and self-reported mood data from a prior clinical trial, a tool has been developed which looks in an automated way at self-reported data from individuals. When trained on the data provided across the participants in the trial, the tool captures the order in which individuals become more or less angry, anxious, elated, irritable, and sad.
The tool has already shown that, over a relatively short window of measurement, it’s possible to meaningfully position an individual on the bipolar spectrum. The sensitivity of this methodology offers the potential for its use in providing feedback for clinicians and clients.