Numerous studies suggest that the incidence of sepsis has been steadily increasing over
the past several decades while mortality rates are falling. However, reliably assessing trends …

Objective To determine the effects of using unstructured clinical text in machine learning
(ML) for prediction, early detection, and identification of sepsis. Materials and methods …

Intensive care unit (ICU) practitioners and emergency department clinicians are in urgent
need of a major upgrade in their access to accurate and fast microbial diagnosis (Table 1) …

Sepsis is a major cause of death worldwide. Over the past years, prediction of clinically
relevant events through machine learning models has gained particular attention. In the …

Abstract The Centers for Medicare & Medicaid Services (CMS) introduced the Severe
Sepsis/Septic Shock Management Bundle (SEP-1) as a pay-for-reporting measure in 2015 …

Abstract Purpose of Review Sepsis is a leading cause of death worldwide. Groundbreaking
international collaborative efforts have culminated in the widely accepted surviving sepsis …

Background The early recognition and management of sepsis improves outcomes.
Biomarkers may help in identifying earlier sub-clinical signs of sepsis. We explored the …

Abstract Purpose of Review Early identification of infection in the critically ill patient and
initiation of appropriate treatment is key to reducing morbidity and mortality. On the other …

Prevalence, Clinical Characteristics, and Outcomes of Sepsis... : Critical Care Explorations
Prevalence, Clinical Characteristics, and Outcomes of Sepsis Caused by Severe Acute …

Objectives: Sepsis is a common cause of morbidity and mortality. A reliable, rapid, and early
indicator can help improve efficiency of care and outcomes. To assess the IntelliSep test, a …