Predicting the risk of inappropriate depth of endotracheal intubation in pediatric patients using machine learning approaches
Crossref DOI link: https://doi.org/10.1038/s41598-023-32122-5
Published Online: 2023-03-29
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Shim, Jae-Geum
Lee, Eun Kyung
Oh, Eun Jung
Cho, Eun-Ah
Park, Jiyeon
Lee, Jun-Ho
Ahn, Jin Hee
Text and Data Mining valid from 2023-03-29
Version of Record valid from 2023-03-29
Article History
Received: 27 June 2022
Accepted: 22 March 2023
First Online: 29 March 2023
Competing interests
: The authors declare no competing interests.