Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis. Seymour Christopher W et al. JAMA 2019 May

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Last Posted: May 20, 2019

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• Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis.
  Seymour Christopher W et al. JAMA 2019 May
• New Phenotypes for Sepsis: The Promise and Problem of Applying Machine Learning and Artificial Intelligence in Clinical Research.
  Knaus William A et al. JAMA 2019 May
• The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.
  Komorowski Matthieu et al. Nature medicine 2018 24(11) 1716-1720
• Informatics and interaction: Applying human factors principles to optimize the design of clinical decision support for sepsis.
  Schubel Laura et al. Health informatics journal 2019 May 1460458219839623
• Predicting common maternal postpartum complications: leveraging health administrative data and machine learning.
  Betts K S et al. BJOG : an international journal of obstetrics and gynaecology 2019 May 126(6) 702-709
• In-host evolution of Staphylococcus epidermidis in a pacemaker-associated endocarditis resulting in increased antibiotic tolerance.
  Dengler Haunreiter Vanina et al. Nature communications 2019 03 (1) 1149
• Genetics of Nonalcoholic Fatty Liver Disease: From Pathogenesis to Therapeutics.
  Sookoian Silvia et al. Seminars in liver disease 2019 Mar
• Precision medicine in pediatric sepsis.
  Atreya Mihir R et al. Current opinion in pediatrics 2019 Mar
• Sepsis test could show results 'in minutes'
  BBC News, February 19, 2019
• Towards precision medicine in sepsis: a position paper from the European Society of Clinical Microbiology and Infectious Diseases.
  Rello J et al. Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases 2018 Dec 24(12) 1264-1272

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