Local-first health metrics drift detection for primary care — turn Apple Health and CSV data into actionable clinical insights

BaselineIQ is a macOS app that analyzes your health data to detect meaningful changes ("drift") in vital signs before they become obvious problems. All processing happens locally on your device — no cloud uploads, no data sharing.

• Own your health data — Import from Apple Health or CSV, processed locally (no cloud uploads)
• Spot trends early — See changes before they become obvious problems
• Prepare for appointments — One-page summary to share with your doctor

• Save time — Quick visual summary instead of scrolling through raw data
• Statistical backing — Z-scores and percent changes, not just "it looks high"
• Context-aware alerts — Distinguishes noise from real drift (data density confidence)
• Explainable — Shows what changed, when, how much, and why it's flagged

• Import: Apple Health export.xml and CSV files
• Metrics Tracked: Resting HR, Sleep, SpO₂, Weight, Blood Pressure, Glucose
• Detection: 30-day rolling baseline vs last 7 days comparison
• Output: Z-score, percent change, data density confidence
• Explanations: What changed, when, how big, why flagged, missing data warnings
• Export: Professional one-page PDF summary

1. Pre-visit prep — Patient exports Apple Health before annual checkup
2. Post-illness monitoring — Track recovery after acute event
3. Lifestyle intervention tracking — Show progress in weight/BP over months
4. Metabolic syndrome screening — Catch gradual glucose/weight creep early

1. Clone this repository
2. Open BaselineIQ.xcodeproj in Xcode
3. Build and run (⌘R)

git clone https://github.com/yash27-lab/BaselineIQ.git
cd BaselineIQ
open BaselineIQ.xcodeproj

1. Click Import CSV or Import Apple Health to load your data
2. View detected drifts in the main dashboard
3. Click Export PDF to generate a one-page clinician summary

date,metric,value
2025-01-01,restingHeartRate,62
2025-01-01,sleepDuration,7.5
2025-01-02,oxygenSaturation,98.2

Supported metrics: restingHeartRate, sleepDuration, oxygenSaturation, weight, glucose, bloodPressureSystolic, bloodPressureDiastolic

1. Baseline: Calculate mean and standard deviation from last 30 days
2. Recent: Calculate mean from last 7 days
3. Z-Score: (recent_mean - baseline_mean) / baseline_std
4. Flag: Alert when |z-score| ≥ 2.0 (statistically significant)
5. Confidence: Adjusted based on data density (more data = higher confidence)

⚠️ NOT MEDICAL ADVICE

This tool is for informational purposes only. It is not a diagnosis or substitute for professional medical judgment. Clinical decisions should be made by a licensed healthcare provider with full patient context.

MIT License — see LICENSE for details.

Contributions welcome! Please open an issue or submit a pull request.