An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU
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An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU - A Pelican Blog
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A Pelican Blog
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An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU
By Mohcine Madkour, Sun 07 January 2018, in category Data science
Artificial intellignce, Data science
Sepsis, a dysregulated immune-mediated host response to infection, is prevalent, lethal, and costly (1–4). Recent literature suggests that early and appropriate antibiotic therapy is the main factor predicting sepsis outcomes (5). Identifying those at risk for sepsis and initiating appropriate treatment, prior to any clinical manifestations, would have a significant impact on the overall mortality and cost burden of sepsis.
METHODS
Study Population and Data Sources
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