Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factors

Delucchi, Matteo; Spinner, Georg Ralph; Scutari, Marco; Bijlenga, Philippe; Morel, Sandrine; Friedrich, Christoph M.; Hirsch, Sven

Full metadata record

DC Field	Value	Language
dc.contributor.author	Delucchi, Matteo	-
dc.contributor.author	Spinner, Georg Ralph	-
dc.contributor.author	Scutari, Marco	-
dc.contributor.author	Bijlenga, Philippe	-
dc.contributor.author	Morel, Sandrine	-
dc.contributor.author	Friedrich, Christoph M.	-
dc.contributor.author	Hirsch, Sven	-
dc.date.accessioned	2022-08-11T13:08:02Z	-
dc.date.available	2022-08-11T13:08:02Z	-
dc.date.issued	2022	-
dc.identifier.isbn	978-0-9562914-6-2	de_CH
dc.identifier.issn	2227-9385	de_CH
dc.identifier.issn	2227-3085	de_CH
dc.identifier.uri	https://digitalcollection.zhaw.ch/handle/11475/25425	-
dc.description	Proceedings: https://www.compbiomed.net/2021/cmbe-proceedings.htm	de_CH
dc.description.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.	de_CH
dc.language.iso	en	de_CH
dc.publisher	Computational and Mathematical Biomedical Engineering	de_CH
dc.rights	Licence according to publishing contract	de_CH
dc.subject	Intracranial aneurysm	de_CH
dc.subject	Probabilistic graphical model	de_CH
dc.subject	Bayesian network	de_CH
dc.subject.ddc	003: Systeme	de_CH
dc.subject.ddc	362.11: Krankenhäuser und verwandte Einrichtungen	de_CH
dc.title	Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factors	de_CH
dc.type	Konferenz: Paper	de_CH
dcterms.type	Text	de_CH
zhaw.departement	Life Sciences und Facility Management	de_CH
zhaw.organisationalunit	Institut für Computational Life Sciences (ICLS)	de_CH
zhaw.conference.details	7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 June 2022	de_CH
zhaw.funding.eu	No	de_CH
zhaw.issue	1	de_CH
zhaw.originated.zhaw	Yes	de_CH
zhaw.pages.end	25	de_CH
zhaw.pages.start	22	de_CH
zhaw.parentwork.editor	Nithiarasu, Perumal	-
zhaw.parentwork.editor	Vergara, Christian	-
zhaw.publication.status	publishedVersion	de_CH
zhaw.volume	2022	de_CH
zhaw.publication.review	Peer review (Abstract)	de_CH
zhaw.title.proceedings	CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering	de_CH
zhaw.webfeed	Biomedical Simulation	de_CH
zhaw.webfeed	Medical Image Analysis & Data Modeling	de_CH
zhaw.webfeed	Digital Health Lab	de_CH
zhaw.webfeed	Health Research Hub (LSFM)	de_CH
zhaw.webfeed	Datalab	de_CH
zhaw.funding.zhaw	Datengetriebene Entscheidungsunterstützung bei intrakraniellen Aneurysmen und in der Spitalgastronomie mittels Bayes'schen Netzwerken	de_CH
zhaw.funding.zhaw	PhD Network in Data Science	de_CH
zhaw.author.additional	No	de_CH
zhaw.display.portrait	Yes	de_CH
Appears in collections:	Publikationen Life Sciences und Facility Management

Files in This Item:

There are no files associated with this item.

Show simple item record

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.