Research — BLX Data Science
The questions behind BodyLytiX.
BLX Data Science is the analysis being built inside BodyLytiX. This page sets out what it is trying to establish, and what has been published so far, which is nothing yet.
The questions
Four things it has to work out.
- What is normal for this person. A baseline drawn from that person's own record, rather than from an average of other people.
- How far today sits from it. Measured against the person's usual day-to-day spread, so an ordinary wobble is not reported as a change.
- What in the record might account for the gap. Looked for across kinds of data, and only among data the system actually holds. When nothing fits, that is the answer.
- How confident any of that is. Every conclusion is classified high, medium or low confidence, or unknown, and unknown is a permitted answer.
Honest state
What has been published.
Nothing yet. No outcome, accuracy figure or customer result is claimed here, because none has been recorded in a form we would publish. When a finding is ready to stand on its own, with its method and its limits, it will be written up on this page.
The method itself is set out in full on the BLX Data Science page.
On data
No personal health data and no user record appears on this page or anywhere on this site.