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Impact of the timing of invasive mechanical ventilation in patients with sepsis: a multicenter cohort study.
Crit Care. 2024 Sep 9;28(1):297. doi: 10.1186/s13054-024-05064-1.
Crit Care. 2024.
PMID: 39252133
Free PMC article.
Development and validation of an interpretable model for predicting sepsis mortality across care settings.
Lee YS, Han S, Lee YE, Cho J, Choi YK, Yoon SY, Oh DK, Lee SY, Park MH, Lim CM, Moon JY; Korean Sepsis Alliance (KSA) Investigators.
Lee YS, et al.
Sci Rep. 2024 Jun 13;14(1):13637. doi: 10.1038/s41598-024-64463-0.
Sci Rep. 2024.
PMID: 38871785
Free PMC article.
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ChatGPT Predicts In-Hospital All-Cause Mortality for Sepsis: In-Context Learning with the Korean Sepsis Alliance Database.
Oh N, Cha WC, Seo JH, Choi SG, Kim JM, Chung CR, Suh GY, Lee SY, Oh DK, Park MH, Lim CM, Ko RE.
Oh N, et al.
Healthc Inform Res. 2024 Jul;30(3):266-276. doi: 10.4258/hir.2024.30.3.266. Epub 2024 Jul 31.
Healthc Inform Res. 2024.
PMID: 39160785
Free PMC article.
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