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Marc-André Bombeck
745fa28c8b
Add the retrospective correlation engine for illness episodes: a pre-onset
anomaly scan (deviation in robust SDs from the user's own median±MAD
baseline), the nadir / what-dropped across the active span, and the
recovery-gap (physiological return-to-baseline vs the felt-better marker).
CHRONIC_ONGOING is excluded from the gap. Every derived number is gated by
the shared coverage/confidence model — a thin signal asserts nothing rather
than showing a wrong figure.
The baseline window ends strictly before the pre-onset lookback, so an
episode's own days can never contaminate the baseline it is measured against.
Reads are DAY-native (rollup tier with a live-SQL fallback), reusing the
baseline engine's read path so the rollup-vs-live parity carries over.
Surfaces:
- GET /api/illness/episodes/{id}/correlation — per-episode findings (gated
Derived wire shape; red-flag escalation for sustained low SpO2 / fever).
- GET /api/illness/insights — cross-episode retrospective ("sick N times ·
typical recovery gap X days"), with the typical-gap withheld below the
min-sample floor. Retrospective only — never a predictor or diagnoser.
Reliability battery: golden-fixture recovery-gap math, rollup-vs-live parity,
baseline-contamination guard, thin-data / coverage-gate, red-flag escalation.
Born-gated + owner-scoped; server-authoritative DTO (iOS renders). i18n ×6.