Development and validation of an interpretable machine learning model using routine laboratory biomarkers to stratify severe pneumonia risk in young children

Wei Cui; Xinlv Zhang; Yang Chen; Diwon Anthony; Guomiao Zhang; Qichao Sheng; Huiqin Mei; Mengtin Yin; Yan Fang; Qingyang Mao; Dapeng Li; Guangyun Mao; Haipeng Liu

doi:10.1016/j.jare.2025.11.062

Q1 2026

Development and validation of an interpretable machine learning model using routine laboratory biomarkers to stratify severe pneumonia risk in young children

Wei Cui · Xinlv Zhang · Yang Chen · Diwon Anthony · Guomiao Zhang · Qichao Sheng · Huiqin Mei · Mengtin Yin · Yan Fang · Qingyang Mao · Dapeng Li · Guangyun Mao · Haipeng Liu

10.1016/j.jare.2025.11.062 385 Views 2 Citations

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Cite this Article (APA)

Wei, C., Xinlv, Z., Yang, C., Diwon, A., Guomiao, Z., Qichao, S., Huiqin, M., Mengtin, Y., Yan, F., Qingyang, M., Dapeng, L., Guangyun, M., Haipeng, L. (2026). Development and validation of an interpretable machine learning model using routine laboratory biomarkers to stratify severe pneumonia risk in young children. Journal of Advanced Research. https://doi.org/10.1016/j.jare.2025.11.062