SOTAVerified

Clinical Reasoning over Tabular Data and Text with Bayesian Networks

2024-03-14Code Available0· sign in to hype

Paloma Rabaey, Johannes Deleu, Stefan Heytens, Thomas Demeester

Code Available — Be the first to reproduce this paper.

Reproduce

Code

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.

Reproductions