feat(health): SDK health resource — record signals + read profile/cohort - #2
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Adds tf.health for the memory engine's health vertical:
- Input (record* — health data IS memory data, stored as non-activity
`fact` items so it feeds the health engine without polluting behavioral
mining):
recordBiomarker(subject, biomarker, value, { unit, observedAt })
recordDemographics(subject, { ageYears, sex, weightKg, heightCm, activity })
recordCondition(subject, { icd10, status, onsetAt })
- Read:
getProfile(subject) → biological age + condition predictions + biomarkers
getCohortRisk(subject, {k}) → condition prevalence among similar patients
Callers decide where the data comes from (EHR, document extraction,
wearable, manual) — the SDK just gives the typed way in and out. Requires
the @thinkfleet/pack-healthcare pack on the project.
Wired into ThinkFleetMemory client + index exports + types/health.ts.
tsc --noEmit clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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What
Adds the
tf.healthresource to the SDK: record biomarker / demographic / condition signals for a subject and read back a wellness profile and cohort risk — decision-support framing, never a diagnosis.Why
First domain resource on the SDK surface; pairs the engine's health estimators (e.g. PhenoAge bio-age) with a typed client.
Notes
🤖 Generated with Claude Code