Why the "Newest" Healthcare Data is Often the Worst for ML
This story is from 2026-09-26. It is preserved in the archive; the latest stories are on the live feed.
If you are building machine learning models using healthcare claims data, your biggest enemy isn't usually the algorithm—it's the claims lag . When working with real-world data (RWD), there is a common temptation to use the most recent data available to keep models "current." In reality, using the…
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- 2026-09-26 13:29 · DEV Community — Machine Learning
Why the "Newest" Healthcare Data is Often the Worst for ML