Last Posted: Jan 29, 2020
- Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy.
Fleuren Lucas M et al. Intensive care medicine 2020 Jan - Too Many Definitions of Sepsis: Can Machine Learning Leverage the Electronic Health Record to Increase Accuracy and Bring Consensus?
Saria Suchi et al. Critical care medicine 2020 Feb 48(2) 137-141 - Genomic and epidemiological evidence of bacterial transmission from probiotic capsule to blood in ICU patients.
Yelin Idan et al. Nature medicine 2019 11 (11) 1728-1732 - Sickle cell disease in Germany: Results from a national registry.
Kunz Joachim B et al. Pediatric blood & cancer 2019 Dec e28130 - Drug-Resistant E. coli Bacteremia Transmitted by Fecal Microbiota Transplant.
DeFilipp Zachariah et al. The New England journal of medicine 2019 Nov (21) 2043-2050 - Fecal Microbiota Transplantation for Dysbiosis - Predictable Risks.
Blaser Martin J et al. The New England journal of medicine 2019 Nov (21) 2064-2066 - Development and Validation of a Predictive Model of the Risk of Pediatric Septic Shock Using Data Known at the Time of Hospital Arrival.
Scott Halden F et al. The Journal of pediatrics 2019 Nov - Biomarkers of Infection and Sepsis.
Opal Steven M et al. Critical care clinics 2020 Jan (1) 11-22 - Host genetic variability and pneumococcal disease: a systematic review and meta-analysis.
Kloek Anne T et al. BMC medical genomics 2019 12(1) 130 - Clinical applications of artificial intelligence in sepsis: A narrative review.
Schinkel M et al. Computers in biology and medicine 2019 Oct 115103488
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