Probabilistic anomaly detection methods based on Bayesian networks learned from past cases are proposed to identify highly unusual patient management decisions in post-surgical cardiac care.
A prediction rule to identify low-risk patients with community-acquired pneumonia
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Evidence-based anomaly detection in clinical domains
Probabilistic anomaly detection methods based on Bayesian networks learned from past cases are proposed to identify highly unusual patient management decisions in post-surgical cardiac care.