Editorial: Outcome of sepsis and prediction of mortality risk
- PMID: 38169760
- PMCID: PMC10758399
- DOI: 10.3389/fmed.2023.1338938
Editorial: Outcome of sepsis and prediction of mortality risk
Keywords: ICU; outcome; prediction of mortality; sepsis; septic shock.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
Comment on
- Editorial on the Research Topic Outcome of sepsis and prediction of mortality risk
References
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- Ferrari D, Milic J, Tonelli R, Ghinelli F, Meschiari M, Volpi S, et al. Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia-Challenges, strengths, and opportunities in a global health emergency. PLoS ONE. (2020) 15:e0239172. 10.1371/journal.pone.0239172 - DOI - PMC - PubMed
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