| Publication type: | Conference paper |
| Type of review: | Peer review (abstract) |
| Title: | Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factors |
| Authors: | Delucchi, Matteo Spinner, Georg Ralph Scutari, Marco Bijlenga, Philippe Morel, Sandrine Friedrich, Christoph M. Hirsch, Sven |
| et. al: | No |
| Proceedings: | CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering |
| Editors of the parent work: | Nithiarasu, Perumal Vergara, Christian |
| Volume(Issue): | 2022 |
| Issue: | 1 |
| Page(s): | 22 |
| Pages to: | 25 |
| Conference details: | 7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 June 2022 |
| Issue Date: | 2022 |
| Publisher / Ed. Institution: | Computational and Mathematical Biomedical Engineering |
| ISBN: | 978-0-9562914-6-2 |
| ISSN: | 2227-9385 2227-3085 |
| Language: | English |
| Subjects: | Intracranial aneurysm; Probabilistic graphical model; Bayesian network |
| Subject (DDC): | 003: Systems 362.11: Hospitals and related institutions |
| Abstract: | Various intracranial aneurysm (IA) rupture risk factors are used for risk assessment, but little is understood about their complex interactions leading to IA rupture. In this study, Bayesian networks (BN) were learned on data of nine risk factors from 790 patients and compared to standard descriptive and regression analyses. The results from standard methods agreed with previous studies and could be extended with BNs by uncovering additional associations in the data. The graphical representation of the IA rupture risk factors in BNs facilitated the result understanding and provided new hypotheses on the risk factor interdependencies. |
| Further description: | Proceedings: https://www.compbiomed.net/2021/cmbe-proceedings.htm |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/25425 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | Life Sciences and Facility Management |
| Organisational Unit: | Institute of Computational Life Sciences (ICLS) |
| Published as part of the ZHAW project: | Datengetriebene Entscheidungsunterstützung bei intrakraniellen Aneurysmen und in der Spitalgastronomie mittels Bayes'schen Netzwerken PhD Network in Data Science |
| Appears in collections: | Publikationen Life Sciences und Facility Management |
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Delucchi, M., Spinner, G. R., Scutari, M., Bijlenga, P., Morel, S., Friedrich, C. M., & Hirsch, S. (2022). Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factors [Conference paper]. In P. Nithiarasu & C. Vergara (Eds.), CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering (Vol. 2022, Issue 1, pp. 22–25). Computational and Mathematical Biomedical Engineering.
Delucchi, M. et al. (2022) ‘Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factors’, in P. Nithiarasu and C. Vergara (eds) CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering. Computational and Mathematical Biomedical Engineering, pp. 22–25.
M. Delucchi et al., “Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factors,” in CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering, 2022, vol. 2022, no. 1, pp. 22–25.
DELUCCHI, Matteo, Georg Ralph SPINNER, Marco SCUTARI, Philippe BIJLENGA, Sandrine MOREL, Christoph M. FRIEDRICH und Sven HIRSCH, 2022. Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factors. In: Perumal NITHIARASU und Christian VERGARA (Hrsg.), CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering. Conference paper. Computational and Mathematical Biomedical Engineering. 2022. S. 22–25. ISBN 978-0-9562914-6-2
Delucchi, Matteo, Georg Ralph Spinner, Marco Scutari, Philippe Bijlenga, Sandrine Morel, Christoph M. Friedrich, and Sven Hirsch. 2022. “Bayesian Networks to Disentangle the Interplay of Intracranial Aneurysm Rupture Risk Factors.” Conference paper. In CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering, edited by Perumal Nithiarasu and Christian Vergara, 2022:22–25. Computational and Mathematical Biomedical Engineering.
Delucchi, Matteo, et al. “Bayesian Networks to Disentangle the Interplay of Intracranial Aneurysm Rupture Risk Factors.” CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering, edited by Perumal Nithiarasu and Christian Vergara, vol. 2022, no. 1, Computational and Mathematical Biomedical Engineering, 2022, pp. 22–25.
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