Last Posted: Nov 20, 2019
- 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 - Investigating Transfusion-Related Sepsis using Culture-Independent Metagenomic Sequencing.
Crawford Emily et al. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2019 Sep - An awakening in medicine: the partnership of humanity and intelligent machines
LA Celi et al, Lancet Digital Health, September 27, 2019 - Machine learning for clinical decision support in infectious diseases: A narrative review of current applications.
Peiffer-Smadja Nathan et al. Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases 2019 Sep - A case report of HIV-1 superinfection in an HIV controller leading to loss of viremia control: a retrospective of 10 years of follow-up.
Caetano Diogo Gama et al. BMC infectious diseases 2019 Jul (1) 588 - Automatic classification of free-text medical causes from death certificates for reactive mortality surveillance in France.
Baghdadi Yasmine et al. International journal of medical informatics 2019 Jul 131103915 - Clinical Decision-Support Systems for Detection of Systemic Inflammatory Response Syndrome, Sepsis, and Septic Shock in Critically Ill Patients: A Systematic Review.
Wulff Antje et al. Methods of information in medicine 2019 Sep
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