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Use of Machine Learning Algorithms in Sepsis
Use of Machine Learning Algorithms in Sepsis SUMMARY The predictive value of sepsis clinical scoring systems is controversial but needs further improvement. Machine learning methods have recently emerged in the use of predicting disease identification,
Prolonged vs Intermittent Antibiotic Infusions
Prolonged vs Intermittent Antibiotic Infusions SUMMARYRecent efforts to maximize antibiotic activity have focused on using pharmacokinetic (PK) and pharmacodynamic (PD) principles for drug administration.As a preferred choice, beta lactams, and specifically meropenem displays a time dependent
Centers for Disease Control and Prevention Sepsis Initiatives
Centers for Disease Control and Prevention Sepsis Initiatives SUMMARY The U.S. Centers for Disease Control and Prevention (CDC) has proposed the “Adult Sepsis Event Toolkit” - 2018 (ASE Toolkit), and the “Hospital Sepsis Program Core
Socioeconomic Impact on Sepsis
Socioeconomic Impact on Sepsis SUMMARYSocioeconomic variables, beyond the control of patients and providers can impact the outcomes of sepsis patients.Larger data sets are needed to confirm the full impact of socioeconomic factors on sepsis mortality and hospital
Sepsis Clinical Probability Determination and Antibiotic Timing
Sepsis Clinical Probability Determination and Antibiotic Timing SUMMARY Accurate diagnosis of sepsis upon presentation is challenging due to subtle disease presentation or rapidly progressing symptoms. Early administration of antibiotics is one of the most effective interventions, especially
The Use of Artificial Intelligence in Sepsis
The Use of Artificial Intelligence in Sepsis SUMMARYIncorporating artificial intelligence into sepsis is a complex and challenging issue.Artificial intelligence algorithms in sepsis may be applied to: prediction; prognosis; mortality prediction; and optimal management.Limited data suggests artificial intelligence