Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Spinner, Georg R. | - |
| dc.contributor.author | Delucchi, Matteo | - |
| dc.contributor.author | Morel, Sandrine | - |
| dc.contributor.author | Bijlenga, Philippe | - |
| dc.contributor.author | Hirsch, Sven | - |
| dc.date.accessioned | 2022-08-19T08:43:50Z | - |
| dc.date.available | 2022-08-19T08:43:50Z | - |
| 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/11475/25476 | - |
| dc.description | Proceedings: https://www.compbiomed.net/2021/cmbe-proceedings.htm | de_CH |
| dc.description.abstract | Intracranial aneurysms (IAs) are a dynamically evolving disease with severe or fatal consequences of IA rupture. Survival analysis methods were used to gain insights into the influence of routinely acquired clinical risk factors onto IA rupture. Patient data consisting of 788 records from the Geneva university hospitals was analyzed. For this censored data, Kaplan-Meier analysis together with Cox regression using proportional hazards were employed to determine the influence of the risk factors. Smoking males with large IAs in high-risk locations had the highest risk for early IA rupture. Patients who were aware of hypertension (irrespective of treatment), stopped smoking and with a positive family history had a reduced rupture risk. | 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 | Survival analysis | de_CH |
| dc.subject | Kaplan-Meier | de_CH |
| dc.subject | Cox proportional hazards regression | de_CH |
| dc.subject.ddc | 510: Mathematik | de_CH |
| dc.subject.ddc | 616.8: Neurologie und Krankheiten des Nervensystems | de_CH |
| dc.title | Survival analysis of intracranial aneurysm rupture to study the influence of clinical risk factors : towards a dynamic disease model | 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.originated.zhaw | Yes | de_CH |
| zhaw.pages.end | 75 | de_CH |
| zhaw.pages.start | 72 | de_CH |
| zhaw.parentwork.editor | Nithiarasu, Perumal | - |
| zhaw.parentwork.editor | Vergara, Christian | - |
| zhaw.publication.status | publishedVersion | de_CH |
| zhaw.volume | 1 | 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.author.additional | No | de_CH |
| zhaw.display.portrait | Yes | de_CH |
| Appears in collections: | Publikationen Life Sciences und Facility Management | |
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Spinner, G. R., Delucchi, M., Morel, S., Bijlenga, P., & Hirsch, S. (2022). Survival analysis of intracranial aneurysm rupture to study the influence of clinical risk factors : towards a dynamic disease model [Conference paper]. In P. Nithiarasu & C. Vergara (Eds.), CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering (Vol. 1, pp. 72–75). Computational and Mathematical Biomedical Engineering.
Spinner, G.R. et al. (2022) ‘Survival analysis of intracranial aneurysm rupture to study the influence of clinical risk factors : towards a dynamic disease model’, in P. Nithiarasu and C. Vergara (eds) CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering. Computational and Mathematical Biomedical Engineering, pp. 72–75.
G. R. Spinner, M. Delucchi, S. Morel, P. Bijlenga, and S. Hirsch, “Survival analysis of intracranial aneurysm rupture to study the influence of clinical risk factors : towards a dynamic disease model,” in CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering, 2022, vol. 1, pp. 72–75.
SPINNER, Georg R., Matteo DELUCCHI, Sandrine MOREL, Philippe BIJLENGA und Sven HIRSCH, 2022. Survival analysis of intracranial aneurysm rupture to study the influence of clinical risk factors : towards a dynamic disease model. 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. 72–75. ISBN 978-0-9562914-6-2
Spinner, Georg R., Matteo Delucchi, Sandrine Morel, Philippe Bijlenga, and Sven Hirsch. 2022. “Survival Analysis of Intracranial Aneurysm Rupture to Study the Influence of Clinical Risk Factors : Towards a Dynamic Disease Model.” Conference paper. In CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering, edited by Perumal Nithiarasu and Christian Vergara, 1:72–75. Computational and Mathematical Biomedical Engineering.
Spinner, Georg R., et al. “Survival Analysis of Intracranial Aneurysm Rupture to Study the Influence of Clinical Risk Factors : Towards a Dynamic Disease Model.” CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering, edited by Perumal Nithiarasu and Christian Vergara, vol. 1, Computational and Mathematical Biomedical Engineering, 2022, pp. 72–75.
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