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apple-health-analysis
Evidence-based Apple Health data analysis with ETL pipeline, tier-based indicators, and research-backed risk positioning
What's Inside
Agents5
correlations
/correlations
Analyzes cross-indicator associations (sleep-activity, HR-exercise, weight-activity correlations) using descriptive statistics only. Invoke when user requests health analysis and Phase 1 derived CSVs are ready.
data-quality
/data-quality
Assesses data quality including missing rates, source devices, wearing gaps, and anomaly detection across all Apple Health CSVs. Invoke when user requests health analysis and Phase 1 derived CSVs are ready.
tier-1-analysis
/tier-1-analysis
Analyzes Tier 1 indicators (Steps, Resting HR, VO2max, Sleep, Weight/BMI) with full A/B/C/D framework — measurement reliability, statistical summary, trend analysis, and risk positioning. Invoke when user requests health analysis and Phase 1 derived CSVs are ready.
tier-2-analysis
/tier-2-analysis
Analyzes Tier 2 indicators (HRV, SpO2, ECG, Walking Steadiness) with A/B/C framework plus qualitative risk positioning. Invoke when user requests health analysis and Phase 1 derived CSVs are ready.
tier-3-analysis
/tier-3-analysis
Analyzes Tier 3 trend-reference indicators (Energy, Respiratory Rate, Gait, Workouts, Noise) with B/C framework only — no risk positioning. Invoke when user requests health analysis and Phase 1 derived CSVs are ready.
Stats
Version1.0.0
LanguagePython
Stars1
MaintenanceGood
LicenseMIT
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