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PolskiAI Mental Health Triage: From Signal to Diagnosis (2D)
2D companion to the 3D triage pipeline: the same logistic risk-classifier gate, drawn as a scrolling lane diagram instead of an orbiting 3D funnel. Tune signal levels and detection sensitivity and watch sessions split between chatbot and clinician.
This 2D companion runs the exact same logistic risk-classifier gate as the 3D version, drawn as a scrolling lane diagram instead of an orbiting scene: patient sessions enter as dots on the left, pass through Signal Intake, NLP Sentiment and the Risk Classifier gates, and are colored by outcome — self-guided chatbot, flagged for check-in, or escalated to a clinician — so the shape of the sigmoid decision boundary is easy to read off the live readout panel.
Each session carries hidden depression, anxiety and suicidality-risk signals; a logistic model R = σ(2.1D + 1.8A + 3.4S − 3.0) turns them into a single risk score, and the Detection sensitivity slider moves the decision threshold that splits chatbot sessions from clinician escalations.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install