A paper published today in the Journal Artificial Intelligence in Medicine provides a comprehensive classification of the health conditions for which Bayesian networks have been used (the paper is part of a much bigger scoping review).
Four conditions - cardiac, cancer, psychological and lung disorders - make up over two-thirds of the research. The paper identifies differences in the approaches used by authors between each of these four primary health conditions and contributes to our understanding of how and what Bayesian networks are being considered for in healthcare.
Full details and download:
McLachlan, S., Dube, K., Hitman, G. A., Fenton, N. E., & Kyrimi, E. (2020). "Bayesian networks in healthcare: Distribution by medical condition". Artificial Intelligence in Medicine, 107, 101912. https://doi.org/10.1016/J.ARTMED.2020.101912
Full details and download of the full scoping review preprint: