Publication: Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors
Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors
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Delucchi, M., Spinner, G. R., Scutari, M., Bijlenga, P., Morel, S., Friedrich, C. M., Furrer, R., & Hirsch, S. (2022). Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors. Computers in Biology and Medicine, 147, 105740. https://doi.org/10.1016/j.compbiomed.2022.105740
Abstract
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Abstract
Clinical decision making regarding the treatment of unruptured intracranial aneurysms (IA) benefits from a better understanding of the interplay of IA rupture risk factors. Probabilistic graphical models can capture and graphically display potentially causal relationships in a mechanistic model. In this study, Bayesian networks (BN) were used to estimate IA rupture risk factors influences. From 1248 IA patient records, a retrospective, single-cohort, patient-level data set with 9 phenotypic rupture risk factors (complete entries) was
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- Delucchi, Matteo
- Spinner, Georg R
- Scutari, Marco
- Bijlenga, Philippe
- Morel, Sandrine
- Friedrich, Christoph M
- Hirsch, Sven
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Delucchi, M., Spinner, G. R., Scutari, M., Bijlenga, P., Morel, S., Friedrich, C. M., Furrer, R., & Hirsch, S. (2022). Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors. Computers in Biology and Medicine, 147, 105740. https://doi.org/10.1016/j.compbiomed.2022.105740
