The ESICM datathon and the ESICM and ICMx data science strategy
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1186/s40635-024-00615-w.pdf
Reference9 articles.
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3. Panagioti M, Khan K, Keers RN et al (2019) Prevalence, severity, and nature of preventable patient harm across medical care settings: systematic review and meta-analysis. BMJ 366:l4185
4. Fleuren LM, Thoral P, Shillan D et al (2020) Machine learning in intensive care medicine: ready for take-off? Intensive Care Med 46:1486–1488
5. Ortega-Martorell S, Pieroni M, Johnston BW et al (2022) Development of a risk prediction model for new episodes of atrial fibrillation in medical-surgical critically ill patients using the AmsterdamUMCdb. Front Cardiovasc Med 9:897709
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