Agard, G.; Roman, C.; Guervilly, C.; Forel, J.-M.; Orléans, V.; Barrau, D.; Auquier, P.; Ouladsine, M.; Boyer, L.; Hraiech, S.
An Innovative Deep Learning Approach for Ventilator-Associated Pneumonia (VAP) Prediction in Intensive Care Units—Pneumonia Risk Evaluation and Diagnostic Intelligence via Computational Technology (PREDICT). J. Clin. Med. 2025, 14, 3380.
https://doi.org/10.3390/jcm14103380
AMA Style
Agard G, Roman C, Guervilly C, Forel J-M, Orléans V, Barrau D, Auquier P, Ouladsine M, Boyer L, Hraiech S.
An Innovative Deep Learning Approach for Ventilator-Associated Pneumonia (VAP) Prediction in Intensive Care Units—Pneumonia Risk Evaluation and Diagnostic Intelligence via Computational Technology (PREDICT). Journal of Clinical Medicine. 2025; 14(10):3380.
https://doi.org/10.3390/jcm14103380
Chicago/Turabian Style
Agard, Geoffray, Christophe Roman, Christophe Guervilly, Jean-Marie Forel, Véronica Orléans, Damien Barrau, Pascal Auquier, Mustapha Ouladsine, Laurent Boyer, and Sami Hraiech.
2025. "An Innovative Deep Learning Approach for Ventilator-Associated Pneumonia (VAP) Prediction in Intensive Care Units—Pneumonia Risk Evaluation and Diagnostic Intelligence via Computational Technology (PREDICT)" Journal of Clinical Medicine 14, no. 10: 3380.
https://doi.org/10.3390/jcm14103380
APA Style
Agard, G., Roman, C., Guervilly, C., Forel, J.-M., Orléans, V., Barrau, D., Auquier, P., Ouladsine, M., Boyer, L., & Hraiech, S.
(2025). An Innovative Deep Learning Approach for Ventilator-Associated Pneumonia (VAP) Prediction in Intensive Care Units—Pneumonia Risk Evaluation and Diagnostic Intelligence via Computational Technology (PREDICT). Journal of Clinical Medicine, 14(10), 3380.
https://doi.org/10.3390/jcm14103380
