mental-health-analyzer

To analyze mental health trends, ingest PHQ-9 and GAD-7 scores over time to identify patterns and risk signals. You can generate a trajectory report by running a trend command for a specified period to monitor changes in depression and anxiety indicators.

Yes, you can correlate mood diary data with sleep and activity metrics. The analysis integrates sleep, fitness, and nutrition data with personal health records to perform emotion and pattern recognition, enabling holistic mental health insights.

Crisis risk screening identifies risk signals within mental health data to inform proactive interventions. Applied to therapy progress tracking, it analyzes PHQ-9 and GAD-7 trajectories alongside chronic illness indicators to monitor treatment effectiveness and patient safety.

Yes, mental health trend analysis works with chronic illness indicators. It ingests chronic disease metrics alongside nutrition and exercise data to support holistic integration, generating risk assessments and personalized recommendations for broader health insights.

The best way to generate a 3-month mental health trends report is to run the trend command for a 3-month period. This processes your PHQ-9 and GAD-7 trajectories to produce a report detailing changes in mental health scores over that timeframe.

A key limitation is that pattern recognition relies on the consistent ingestion of nutrition data alongside sleep and exercise metrics. Incomplete or irregular chronic illness and mood logs can hinder the accurate generation of personalized recommendations and risk assessments.