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Source: Current Awareness Service for Health (CASH)
Education: Learning
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Total 3 results found since Jan 2013.
Machine learning methods to improve bedside fluid responsiveness prediction in severe sepsis or septic shock: an observational study, British journal of anaesthesia
Conclusions: Machine learning generated several models for predicting fluid responsiveness that were comparable with the haemodynamic response to PLR.
Source: Current Awareness Service for Health (CASH) - May 6, 2021 Category: Consumer Health News Source Type: news
On prioritising global health ' s triple crisis of sepsis, COVID-19 and antimicrobial resistance: a mixed-methods study from Malawi.
Conclusion Our analysis revealed strong relationships between in-hospital mortality and hospital case volume in hospitals treating a small number of cases. The nonlinearity and nonm onotonicity of the estimated relationships indicate that studies applying conventional statistical approaches like logistic regression should consider these relationships adequately.
Source: Current Awareness Service for Health (CASH) - December 14, 2022 Category: Consumer Health News Source Type: news
On prioritising global health ' s triple crisis of sepsis, COVID-19 and antimicrobial resistance: a mixed-methods study from Malawi
Conclusion
Our analysis revealed strong relationships between in-hospital mortality and hospital case volume in hospitals treating a small number of cases. The nonlinearity and nonm onotonicity of the estimated relationships indicate that studies applying conventional statistical approaches like logistic regression should consider these relationships adequately.
Source: Current Awareness Service for Health (CASH) - December 14, 2022 Category: Consumer Health News Source Type: news
