Interpretable Machine Learning Model Using Oxygenation and Respiratory Variability to Predict Hemorrhagic Stroke Mortality: A Multicenter Validation Study

Computer Methods and Programs in Biomedicine · Published 2026-07-29 · DOI 10.1016/j.cmpb.2026.109572

Authors (7)

Jing Feng, Hongyu Zhang, Jianheng Gu, Chang He, Mengsi Zhan, Hongbo San, Baojian Wei

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Publication details

Year
2026

Citation

Feng, J., Zhang, H., Gu, J., et al. (2026). Interpretable Machine Learning Model Using Oxygenation and Respiratory Variability to Predict Hemorrhagic Stroke Mortality: A Multicenter Validation Study. Computer Methods and Programs in Biomedicine. https://doi.org/10.1016/j.cmpb.2026.109572

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