Clinical Reasoning over Tabular Data and Text with Bayesian Networks
arxiv(2024)
摘要
Bayesian networks are well-suited for clinical reasoning on tabular data, but
are less compatible with natural language data, for which neural networks
provide a successful framework. This paper compares and discusses strategies to
augment Bayesian networks with neural text representations, both in a
generative and discriminative manner. This is illustrated with simulation
results for a primary care use case (diagnosis of pneumonia) and discussed in a
broader clinical context.
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