Cite
Prognostic analysis of high-flow nasal cannula therapy and non-invasive ventilation in mild to moderate hypoxemia patients and construction of a machine learning model for 48-h intubation prediction—a retrospective analysis of the MIMIC database
MLA
Wei Fu, et al. “Prognostic Analysis of High-Flow Nasal Cannula Therapy and Non-Invasive Ventilation in Mild to Moderate Hypoxemia Patients and Construction of a Machine Learning Model for 48-h Intubation Prediction—a Retrospective Analysis of the MIMIC Database.” Frontiers in Medicine, vol. 11, Mar. 2024. EBSCOhost, https://doi.org/10.3389/fmed.2024.1213169.
APA
Wei Fu, Xiaoqing Liu, Lili Guan, Zhimin Lin, Zhenfeng He, Jianyi Niu, Qiaoyun Huang, Qi Liu, & Rongchang Chen. (2024). Prognostic analysis of high-flow nasal cannula therapy and non-invasive ventilation in mild to moderate hypoxemia patients and construction of a machine learning model for 48-h intubation prediction—a retrospective analysis of the MIMIC database. Frontiers in Medicine, 11. https://doi.org/10.3389/fmed.2024.1213169
Chicago
Wei Fu, Xiaoqing Liu, Lili Guan, Zhimin Lin, Zhenfeng He, Jianyi Niu, Qiaoyun Huang, Qi Liu, and Rongchang Chen. 2024. “Prognostic Analysis of High-Flow Nasal Cannula Therapy and Non-Invasive Ventilation in Mild to Moderate Hypoxemia Patients and Construction of a Machine Learning Model for 48-h Intubation Prediction—a Retrospective Analysis of the MIMIC Database.” Frontiers in Medicine 11 (March). doi:10.3389/fmed.2024.1213169.