IMreasoning - Clinical reasoning for Doctors and Students cover image

57: Bayesian Reasoning

IMreasoning - Clinical reasoning for Doctors and Students

00:00

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.

Transcript
Play full episode

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app