Last Posted: Sep 12, 2019
- A Genetic Approach to the Association Between PCSK9 and Sepsis.
Feng QiPing et al. JAMA network open 2019 Sep (9) e1911130 - What is sepsis?
Know the Risks. Spot the Signs. Act Fast. CDC Information, 2019 - Enteric dysbiosis is associated with sepsis in patients
Z Liu et al, FASEB journal, August 28, 2019 - An intelligent warning model for early prediction of cardiac arrest in sepsis patients.
Layeghian Javan Samaneh et al. Computer methods and programs in biomedicine 2019 Sep 17847-58 - An identification protocol for ESBL-producing Gram-negative bacteria bloodstream infections using a MinION nanopore sequencer.
Sakai Jun et al. Journal of medical microbiology 2019 Aug (8) 1219-1226 - A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice.
Giannini Heather M et al. Critical care medicine 2019 Aug - Genome-Based Epidemiological Analysis of 13 Acinetobacter Strains Isolated from Blood Cultures of Hospitalized Patients from a University Hospital in Japan.
Oinuma Ken-Ichi et al. Japanese journal of infectious diseases 2019 Jul (4) 274-280 - Automating artificial intelligence for medical decision-making
R Matheson, MIT News, August 6, 2019 - Novel Method of Atrial Fibrillation Case Identification and Burden Estimation Using the MIMIC-III Electronic Health Data Set.
Ding Eric Y et al. Journal of intensive care medicine 2019 Jul 885066619866172 - Multimorbidity states associated with higher mortality rates in organ dysfunction and sepsis: a data-driven analysis in critical care.
Zador Zsolt et al. Critical care (London, England) 2019 23(1) 247
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