A Clinically Actionable Risk Score for Ventilator-Associated Pneumonia Using Interpretable Machine Learning

CHEST Critical Care · Published 2026-05-25 · DOI 10.1016/j.chstcc.2026.100283

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Authors (46)

Yeleen Fromage, Ana C. Hernandez Padilla, Julien Vaidie, Hamza Sayadi, Aleksandra Barac, Olaf L. Cremer, Denis Garot, Anahita Rouzé, Thomas Daix, L.E.M. Vintcent, Holly Jackson, Marlieke E.A. De Kraker, C.H. van Werkhoven, Jean-Baptiste Woillard, Bruno François, Silvana Leka, Nicolas De Schryver, Vincent Huberlant, Jean-Baptiste Mesland, Jan de Waele, Jonathan Cavalleri, Jaromir Vajter, Frantisek Duska, Rafael Leon Lopez, Mercedes Murcia Anaya, Ricard Ferrer Roca, Lorena Forcelledo Espina, Thomas Daix, Cedric Darreau, Saad Nseir, Denis Garot, Jean-Pierre Quenot, Thomas Maldiney, Vera Vlahovic-Palcevski, Jasminka Kopic, Olaf L. Cremer, Huub Van Den Oever, Dan Corneci, Silvius Ioan Negoita, Aleksandra Barac, Antonia Koutsoukou, Demosthenes A. Makris, Anastasia Kotanidou, Maria Vargas, Andrea Cortegiani, Biljana Curcic-Trajkovska

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Publication details

Year
2026

Citation

Fromage, Y., Padilla, A., Vaidie, J., et al. (2026). A Clinically Actionable Risk Score for Ventilator-Associated Pneumonia Using Interpretable Machine Learning. CHEST Critical Care. https://doi.org/10.1016/j.chstcc.2026.100283

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