Build a thyroid episode warning model from wearable data
One practitioner notes that the poster exported 9.5 years of Apple Watch data through Apple Health plus Whoop data, labeled periods that matched hyperthyroid phases, and gave Claude Code the dataset to build a detector. In comments, they said Claude tried many models for over an hour, landed on XGBoost, engineered 53 features before keeping three resting-heart-rate features, and the poster also held out the most recent episode to manually test the result. They said the backtest on the held-out episode would have flagged trouble in early August before labs confirmed it at the end of the month.
- Agent or tool
- Claude Code
- Topic
- Productivity
- Reported on
- Added
- 2026-10-15
Why it matters
Small, repetitive tasks eat more of the week than anyone likes to admit. Cases like this show an agent taking a chore off someone's plate end to end, not just suggesting what to do. It is one of 196 sightings filed under Productivity on Agent Sightings (number 48 by interest), and one of 164 involving Claude Code.
How you could try it
Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into Claude Code or any similar agent and adjust the details to your situation.
Help me build a thyroid episode warning model from wearable data. Break it into steps, show your work, and wait for confirmation before anything irreversible, paid, or outbound.
Tip: Start small: run it once on a low-stakes example, read what the agent did, and only then let it run on real work.
Source
Read the original first-hand account on Reddit: https://www.reddit.com/r/ClaudeAI/comments/1qi8x0r/i_gave_claude_code_95_years_…. Our summary is a paraphrase; details are in the source.