
57: Bayesian Reasoning
IMreasoning - Clinical reasoning for Doctors and Students
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Bayesian Reasoning in Clinical Decision-Making
This chapter explores how nomograms can be utilized to calculate post-test probabilities in clinical settings, emphasizing the significance of pretest probabilities and likelihood ratios. Through case studies, it illustrates the practical application of Bayesian reasoning, particularly in diagnosing and treating patients with heart failure and pulmonary embolism.
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