Korean Journal of Anesthesiology This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Predicting optimal tracheal tube size and depth in pediatric patients using demographic data and machine learning techniques
CONCLUSIONS: The GBRT model using only demographic data accurately predicted the ETT size and depth. If these results are validated, the model may be practical for predicting optimal ETT size and depth for pediatric patients.PMID:37750295 | DOI:10.4097/kja.23501 (Source: Korean Journal of Anesthesiology)
Source: Korean Journal of Anesthesiology - September 26, 2023 Category: Anesthesiology Authors: Hyeonsik Kim Hyun-Kyu Yoon Hyeonhoon Lee Chul-Woo Jung Hyung-Chul Lee Source Type: research

How do you teach someone to fish?
Korean J Anesthesiol. 2023 Sep 15. doi: 10.4097/kja.23659. Online ahead of print.NO ABSTRACTPMID:37710387 | DOI:10.4097/kja.23659 (Source: Korean Journal of Anesthesiology)
Source: Korean Journal of Anesthesiology - September 15, 2023 Category: Anesthesiology Authors: Jae Hang Shim Source Type: research