Case · Healthcare & Public Health
Forecasting public-health surveillance series such as influenza-like illness, plus trends in continuous vital signs and physiological signals.
Target Specs (Solution Concept)
Public-health surveillance data mostly arrive weekly and are often revised after release, so the onset and peak of a flu season are hard to anticipate. Bedside and wearable physiological signals vary widely between patients and are easily disturbed by motion and baseline drift, so threshold alarms raise many false alerts.
Concept: the general time-series model returns quantile intervals several weeks ahead for weekly surveillance series such as influenza-like illness (ILI) consultation rates, as an input to public-health preparedness, and trend forecasts with quantile intervals for long vital-sign series as a reference for monitoring alert thresholds. Forecasts are not medical advice and not an official epidemic forecast; clinical calibration and waveform artefact removal are not current capabilities and need separate validation with partners.
Live
Beta · Technical demoForecasts issued automatically from public data streams in this sector and scored point by point once the actuals arrive; forecasts are never changed after they are issued. This is a summary of each source's latest forecast; the full charts, point-by-point scores and history are on the live board.
Technical demo, not advice for any decision; see the Terms of Service.
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