Results 81 to 90 of about 604,208 (156)

SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine Learning [PDF]

Sepsis is a lethal syndrome of organ dysfunction that is triggered by an infection and claims 11 million lives per year globally. Prognostic algorithms based on deep learning have shown promise in detecting the onset of sepsis hours before the actual event but use a large number of bio-markers, including vital signs and laboratory tests.
arxiv   +1 more source

Bayesian Learning of Clinically Meaningful Sepsis Phenotypes in Northern Tanzania [PDF]

arXiv
Sepsis is a life-threatening condition caused by a dysregulated host response to infection. Recently, researchers have hypothesized that sepsis consists of a heterogeneous spectrum of distinct subtypes, motivating several studies to identify clusters of sepsis patients that correspond to subtypes, with the long-term goal of using these clusters to ...
arxiv  

ICU-Sepsis: A Benchmark MDP Built from Real Medical Data [PDF]

arXiv
We present ICU-Sepsis, an environment that can be used in benchmarks for evaluating reinforcement learning (RL) algorithms. Sepsis management is a complex task that has been an important topic in applied RL research in recent years. Therefore, MDPs that model sepsis management can serve as part of a benchmark to evaluate RL algorithms on a challenging ...
arxiv  

SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction [PDF]

arXiv
Sepsis is an organ dysfunction caused by a deregulated immune response to an infection. Early sepsis prediction and identification allow for timely intervention, leading to improved clinical outcomes. Clinical calculators (e.g., the six-organ dysfunction assessment of SOFA) play a vital role in sepsis identification within clinicians' workflow ...
arxiv  

Sepsyn-OLCP: An Online Learning-based Framework for Early Sepsis Prediction with Uncertainty Quantification using Conformal Prediction [PDF]

arXiv
Sepsis is a life-threatening syndrome with high morbidity and mortality in hospitals. Early prediction of sepsis plays a crucial role in facilitating early interventions for septic patients. However, early sepsis prediction systems with uncertainty quantification and adaptive learning are scarce. This paper proposes Sepsyn-OLCP, a novel online learning
arxiv  

Immunoglobulins and sepsis [PDF]

Intensive Care Medicine, 2018
Martin Bruun Madsen, Alexis F. Turgeon, Manu Shankar-Hari, Manu Shankar-Hari   +3 more
openaire   +6 more sources

Neonatal Sepsis in Low- and Middle-income Countries: Where Are We Now? [PDF]

Pediatr Infect Dis J
Dramowski A, Bolton L, Fitzgerald F, Bekker A, NeoNET AFRICA Partnership.   +4 more
europepmc   +1 more source

"Sepsis brought him to his knees": exploring the lived experiences and perspectives of sepsis survivors and family members to inform a sepsis public education campaign in Canada. [PDF]

BMC Public Health
Parsons Leigh J, Brundin-Mather R, Walsh D, Mizen SJ, Sriskandarajah C, Bergeron MM, Werner DE, Fiest KM.   +7 more
europepmc   +1 more source

Evaluating Potential Missed Opportunities to Prevent, Treat, or Diagnose Sepsis: A Population-Based Retrospective Study of Insurance Claims. [PDF]

Crit Care Explor
Struble RD, Arakkal AT, Cavanaugh JE, Polgreen PM, Miller AC.   +4 more
europepmc   +1 more source

Sex Differences in Pediatric Sepsis Mortality: A Systematic Review and Meta-Analysis. [PDF]

Crit Care Explor
Kennedy UK, Moulin J, Bührer L, Lim Fang Nian J, Halter L, Böhni L, Güzelgün M, Menon K, Lee JH, Schlapbach LJ, Held U.   +10 more
europepmc   +1 more source