Last Posted: Jun 24, 2019
- Precision medicine in pediatric sepsis.
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Liu Andrew C et al. Briefings in bioinformatics 2019 Jun - Sepsis Attributed to Bacterial Contamination of Platelets Associated with a Potential Common Source - Multiple States, 2018.
Jones Sydney A et al. MMWR. Morbidity and mortality weekly report 2019 Jun (23) 519-523 - Rapid antimicrobial susceptibility tests for sepsis; the road ahead.
Inglis Timothy J J et al. Journal of medical microbiology 2019 May - Using Mobile Health to Support Clinical Decision-Making to Improve Maternal and Neonatal Health Outcomes in Ghana: Insights of Frontline Health Worker Information Needs.
Amoakoh Hannah Brown et al. JMIR mHealth and uHealth 2019 May 7(5) e12879 - 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 - Supervised machine learning in critical care: The path forward.
Parreco Joshua P et al. Journal of critical care 2018 46162-163 - 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
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