Diagnostic potential of a gradient boosting-based model for detecting pediatric sepsis

This publication has 36 references indexed in Scilit:

• Trends in the Epidemiology of Pediatric Severe Sepsis*
  Pediatric Critical Care Medicine, 2013
• Long-term mortality and quality of life in sepsis: A systematic review*
  Critical Care Medicine, 2010
• Identification of pediatric septic shock subclasses based on genome-wide expression profiling
  BMC Medicine, 2009
• Genomic expression profiling across the pediatric systemic inflammatory response syndrome, sepsis, and septic shock spectrum*
  Critical Care Medicine, 2009
• Validating the genomic signature of pediatric septic shock
  Physiological Genomics, 2008
• Genome-level expression profiles in pediatric septic shock indicate a role for altered zinc homeostasis in poor outcome
  Physiological Genomics, 2007
• Machine Learning and Its Applications to Biology
  PLOS Computational Biology, 2007
• Adjusting batch effects in microarray expression data using empirical Bayes methods
  Biostatistics, 2006
• Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks
  Genome Research, 2003
• Significance analysis of microarrays applied to the ionizing radiation response
  Proceedings of the National Academy of Sciences, 2001