# A super learner ensemble machine learning model with SHAP-based explanations for pneumonia detection based on routine hematological markers

Source: [Medical research : nature.com subject feeds](https://www.nature.com/articles/s41598-026-78825-3) · 2026-11-10 · Medicine
Page: https://themorning.science/story/a-super-learner-ensemble-machine-learning-model-with-shap-based-explanations-for-07481ca4619732b6
Kind: research · Impact: low

## In brief

- A super learner ensemble machine learning model is presented for detecting pneumonia.
- The model uses routine hematological (blood) markers as its inputs.
- The model includes SHAP-based explanations of its predictions.

## Why it matters

Routine blood tests are cheap and widely available, so a pneumonia detector built on them with interpretable outputs could in principle support screening. The available source gives no performance figures, so its practical value is not yet established.

## Coverage

- [A super learner ensemble machine learning model with SHAP-based explanations for pneumonia detection based on routine hematological markers](https://www.nature.com/articles/s41598-026-78825-3) — Medical research : nature.com subject feeds, 2026-11-10

Tags: pneumonia, machine learning, hematology, explainable ai, diagnostics

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Brief generated by AI (claude-haiku-5-5) from the reporting listed under Coverage. Headlines belong to their publishers. The Morning Science – https://themorning.science