Mellitus — Diabetes Predictor

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One active slot per email and per Nightscout URL. Use Nightscout base URL (https://example.com) and a real read token/secret (example: reader-ab12cd34ef56...), not just "reader" or a name.

Grafana Examples

BG + IOB/COB panels and forecast overlays.

MAPE, MAE and forecast quality panels — Forecast quality: MAPE, MAE and p95 error by horizon.

Basal / ISF / CR suggestions — Basal / ISF / CR schedule suggestions (24h).

How It Works (Technical)

Nightscout is the source of truth (SGVs, treatments, profile, devicestatus).
We resample to 5‑minute steps and build features: BG, IOB/COB, SMB/bolus, carbs, ISF/CR, basal, targets, time + trend.
The model is a sequence net (LSTM/GRU) that predicts the next 30–120 minutes.
Metrics are exposed to Prometheus and visualized in Grafana (live values, forecasts, errors).

DP trains a sequence model (LSTM/GRU) on your recent Nightscout data to predict BG 30–120 minutes ahead, and exposes live metrics (BG/IOB/COB, prediction curves, error histograms, ISF/CR/basal suggestions) in Grafana. It can retrain periodically and uses actual outcomes to track forecast error over time.

Build Notes

API (Flask): /predict + /train.
Poller runs the predict → report loop and logs actual outcomes.
Prometheus stores metrics (BG, IOB/COB, forecasts, errors).
Grafana dashboards show predictions + therapy suggestions.
When editing settings: use NIGHTSCOUT_URL without trailing / (example: https://site.com).