Finding the needle by modeling the haystack: Pulmonary embolism in an emergency patient with cardiorespiratory manifestations

Expert Systems with Applications(2022)

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摘要
•Medical diagnosis is performed from a patient’s findings without requiring any conjecture.•Diagnostic predictions are empirically calibrated and consistent with medical reasoning.•Causal knowledge allows the system to learn from any type of clinical data.•Causal assumptions can be revised in the light of model performance assessments.
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关键词
Bayesian networks,Markov chain Monte Carlo,Causal modeling,Latent variables,Emergency medicine,Calibration analysis
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