Clinical Reasoning over Tabular Data and Text with Bayesian Networks
<|reference_start|>Clinical Reasoning over Tabular Data and Text with Bayesian Networks: 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.<|reference_end|>
@article{rabaey2024clinical,
    title={Clinical Reasoning over Tabular Data and Text with Bayesian Networks},
    author={Paloma Rabaey, Johannes Deleu, Stefan Heytens, Thomas Demeester},
    journal={arXiv preprint arXiv:2403.09481},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.09481},
    primaryClass={cs.AI}
}