Papers › Clinical Reasoning over Tabular Data and Text with Bayesian Networks
Clinical Reasoning over Tabular Data and Text with Bayesian Networks
Paloma Rabaey, Johannes Deleu, Stefan Heytens, Thomas Demeester
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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