APA (7th ed.) Citation

Meza-Fuentes, G., Delgado, I., Barbé, M., Sánchez-Barraza, I., Retamal, M. A., & López, R. (2025). Machine learning-based identification of efficient and restrictive physiological subphenotypes in acute respiratory distress syndrome. Intensive Care Medicine Experimental, 13(1), 1. https://doi.org/10.1186/s40635-025-00737-9

Chicago Style (17th ed.) Citation

Meza-Fuentes, Gabriela, Iris Delgado, Mario Barbé, Ignacio Sánchez-Barraza, Mauricio A. Retamal, and René López. "Machine Learning-based Identification of Efficient and Restrictive Physiological Subphenotypes in Acute Respiratory Distress Syndrome." Intensive Care Medicine Experimental 13, no. 1 (2025): 1. https://doi.org/10.1186/s40635-025-00737-9.

MLA (9th ed.) Citation

Meza-Fuentes, Gabriela, et al. "Machine Learning-based Identification of Efficient and Restrictive Physiological Subphenotypes in Acute Respiratory Distress Syndrome." Intensive Care Medicine Experimental, vol. 13, no. 1, 2025, p. 1, https://doi.org/10.1186/s40635-025-00737-9.