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2 days ago · Through an exhaustive evaluation of 29 selected studies, this review aims to analyze and synthesize various feature engineering techniques applied in sepsis prediction models, assess their impact on model performance, and evaluate the overall effectiveness of ML models in predicting sepsis.
11 hours ago · Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection, commonly associated with nosocomial transmission. Gram-negative bacterial species are particularly problematic due to the release of the lipopolysaccharide toxins upon cell death. The lipopolysaccharide toxin of E. coli has a greater immunogenic potential than that of other Gram-negative ...
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2 days ago · A scoping review of machine learning for sepsis prediction- feature engineering strategies and model performance: a step towards explainability. Sepsis, an acute and potentially fatal systemic response to infection, significantly impacts global health by affecting millions annually.
1 day ago · Although there has been no formal college input to the construction of these it is advised that clinicians consider use them. Their use is important not only in documenting the severely unwell with sepsis but also when recording when the signs of sepsis were absent, and that appropriate safety netting has been given.
5 days ago · There are many types of literature reviews. Before beginning a systematic review, consider whether it is the best type of review for your question, goals, and resources. The table below compares systematic reviews, scoping reviews, and systematized reviews (narrative literature reviews employing some, but not all elements of a systematic review ...
5 days ago · JBI Sumari (the Joanna Briggs Institute System for the United Management, Assessment and Review of Information) is a systematic review software platform geared toward fields such as health, social sciences, and humanities. Among the other steps of a review project, it facilitates data extraction and data synthesis.
5 days ago · ONLINE. The three-day virtual meta-analysis course for health professionals is designed to provide an introduction to advanced methods for conducting systematic reviews and meta-analyses. Topics covered include frequentist and Bayesian meta-analysis and methods to investigate heterogeneity, as well as methods for diagnostic accuracy and network ...
