Presymptomatic prediction of sepsis in intensive care unit patients.
about
Biomarkers in sepsisApplying computation biology and "big data" to develop multiplex diagnostics for complex chronic diseases such as osteoarthritisWhat was old is new again: using the host response to diagnose infectious disease.A microarray biosensor for multiplexed detection of microbes using grating-coupled surface plasmon resonance imaging.A vision and a prescription for big data-enabled medicine.Assessing immune function by profiling cytokine release from stimulated blood leukocytes and the risk of infection in rheumatoid arthritis.A genetic programming approach for Burkholderia pseudomallei diagnostic pattern discovery.Body temperature patterns as a predictor of hospital-acquired sepsis in afebrile adult intensive care unit patients: a case-control study.The role of natural killer cells in sepsis.Diagnostic and prognostic markers in sepsis.Sepsis biomarkers: an omics perspective.Developing and understanding biofluid vibrational spectroscopy: a critical review.Life sciences today and tomorrow: emerging biotechnologies.An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.Biomarkers as predictors of mortality in critically ill patients with solid tumors.
P2860
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P2860
Presymptomatic prediction of sepsis in intensive care unit patients.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
Presymptomatic prediction of sepsis in intensive care unit patients.
@en
type
label
Presymptomatic prediction of sepsis in intensive care unit patients.
@en
prefLabel
Presymptomatic prediction of sepsis in intensive care unit patients.
@en
P2093
P2860
P356
P1476
Presymptomatic prediction of sepsis in intensive care unit patients
@en
P2093
J M Scherer
M C Jackson
M J Pearce
P McQuillan
R A Lukaszewski
R W Titball
T J G Brooks
P2860
P304
P356
10.1128/CVI.00486-07
P577
2008-05-14T00:00:00Z