Clinical Reasoning over Tabular Data and Text with Bayesian Networks

Author:

Paloma Rabaey, Johannes Deleu, Stefan Heytens, Thomas Demeester

Keyword:

Computer Science, Artificial Intelligence, Artificial Intelligence (cs.AI)

journal:

date:

2024-03-14 00:00:00

Abstract

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.

PDF: Clinical Reasoning over Tabular Data and Text with Bayesian Networks.pdf