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In the context of fairness in medical prediction models, what is a key concern?

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What does calibration evaluate in a prediction model?

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What is the purpose of explainability and interpretability in medical machine learning models?

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In the context of model explainability, what is the difference between intrinsic and post hoc explainability?

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What does a Partial Dependence Plot (PDP) show?

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According to the "Probabilistic Clinical Reasoning II" presentation, what is the essence of expected utility decision making?

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What is the purpose of a sensitivity analysis in decision analysis?

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What is the main reason for needing a formal framework in medical decision-making?

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What is the main difference between frequentism and Bayesianism in probability interpretation?

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Which method is typically used to calculate objective pre-test probability?

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