SBC-SHAP: Increasing the Accessibility and Interpretability of Machine Learning Algorithms for Sepsis Prediction
About this episode
This episode discusses the SBC-SHAP project aimed at improving the accessibility and interpretability of machine learning algorithms for predicting sepsis.
Topics covered
- machine learning
- sepsis prediction
- healthcare accessibility
- algorithm interpretability
- data science
Keywords
- machine learning
- sepsis
- healthcare
- algorithm
- interpretability
- data science
- accessibility
Mentioned in this episode
Organizations: Association for Diagnostics and Laboratory Medicine
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