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Managing Thyroid Disease with 9.5 Years of Apple Watch Data
A developer fed Claude Code 9.5 years of Apple Watch health data to detect thyroid flare-ups 3 weeks before lab results. The ML model now runs as an iOS app with a real-time risk dashboard.
Setup Time
1 week
Monthly Cost
$30-60
Category
Health
Difficulty
advanced
One of the most compelling health use cases for Claude Code: a developer with thyroid disease used 9.5 years of Apple Watch data to build a predictive health monitoring system.
What Happened
- Fed Claude Code nearly a decade of Apple HealthKit data
- Asked it to find patterns that precede thyroid flare-ups
- Claude identified the optimal ML model for the dataset
- The model detected oncoming flare-ups 3+ weeks before lab results confirmed them
The iOS App
- Claude Code generated an Xcode project from a basic specification
- Reads from Apple HealthKit in real-time
- Runs daily inference on new health data
- Displays a risk dashboard with early warning indicators
Why This Matters
- If used in real-time, the user could contact their endocrinologist weeks earlier
- Potentially avoid months of symptoms through proactive medication adjustment
- Demonstrates Claude Code's ability to handle complex data science workflows end-to-end
Caveats
- This is a personal project, NOT medical advice
- Results are specific to one individual's data
- Requires years of consistent health data for meaningful patterns
- Always consult healthcare professionals for medical decisions
Requirements
- Claude API Key
- Apple Watch with years of health data
- Xcode
- Python for ML training
Source
apple-watchthyroidmlioshealth-dataprediction