Research
Development and external validation of a machine learning model for 28-day mortality in patients with gastrointestinal bleeding and chronic kidney disease
Nature ·
The Brief
- A study reports the development and external validation of a machine learning model for 28-day mortality in patients with gastrointestinal bleeding and chronic kidney disease.
- The article was listed in a nature.com subject feed on 2026-11-10; no summary or model performance figures were provided.
Why it matters
A validated tool for predicting 28-day mortality could help clinicians identify high-risk patients with gastrointestinal bleeding and chronic kidney disease, though the available source does not report accuracy results.
Who’s affected
- clinicians treating gastrointestinal bleeding
- patients with chronic kidney disease
- researchers in clinical machine learning
- #machine learning
- #gastrointestinal bleeding
- #chronic kidney disease
- #mortality prediction
- #clinical research