Development of a Complication- and Treatment-Aware Prediction Model for Favorable Functional Outcome in Aneurysmal Subarachnoid Hemorrhage Based on Machine Learning

Maldaner, Nicolai; Zeitlberger, Anna M; Sosnova, Marketa; Goldberg, Johannes; Fung, Christian; Bervini, David; May, Adrien; Bijlenga, Philippe Alexandre Pierre; Schaller, Karl Lothard; Roethlisberger, Michel; Rychen, Jonathan; Zumofen, Daniel W; D'Alonzo, Donato; Marbacher, Serge; Fandino, Javier; Daniel, Roy Thomas; Burkhardt, Jan-Karl; Chiappini, Alessio; Robert, Thomas; Schatlo, Bawarjan; Schmid, Josef; Maduri, Rodolfo; Staartjes, Victor E; Seule, Martin A; Weyerbrock, Astrid; Serra, Carlo; Stienen, Martin Nikolaus; Bozinov, Oliver; Regli, Luca

doi:10.1093/neuros/nyaa401

Scientific article

English

Development of a Complication- and Treatment-Aware Prediction Model for Favorable Functional Outcome in Aneurysmal Subarachnoid Hemorrhage Based on Machine Learning

Published inNeurosurgery, vol. 88, no. 2, p. E150-E157

Publication date2021

Abstract

Current prognostic tools in aneurysmal subarachnoid hemorrhage (aSAH) are constrained by being primarily based on patient and disease characteristics on admission.

Keywords

Aneurysmal subarachnoid hemorrhage
Complication- and treatment-aware
Machine learning
Outcome prediction

Affiliation entities

Faculté de médecine / Section de médecine clinique / Département des neurosciences cliniques

Research groups

Groupe Schaller Karl Lothard (neurochirurgie) (851)

Citation (ISO format)

MALDANER, Nicolai et al. Development of a Complication- and Treatment-Aware Prediction Model for Favorable Functional Outcome in Aneurysmal Subarachnoid Hemorrhage Based on Machine Learning. In: Neurosurgery, 2021, vol. 88, n° 2, p. E150–E157. doi: 10.1093/neuros/nyaa401

Article (Published version)

Appendix

Identifiers

PID : unige:149360
DOI : 10.1093/neuros/nyaa401
PMID : 33017031

Additional URL for this publicationhttps://academic.oup.com/neurosurgery/article/88/2/E150/5918014

Journal ISSN0148-396X

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Creation07/12/2020 14:58:00

First validation07/12/2020 14:58:00

Update16/03/2023 00:06:08

Status update16/03/2023 00:06:06

Last indexation31/10/2024 21:20:19

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Development of a Complication- and Treatment-Aware Prediction Model for Favorable Functional Outcome in Aneurysmal Subarachnoid Hemorrhage Based on Machine Learning

Current prognostic tools in aneurysmal subarachnoid hemorrhage (aSAH) are constrained by being primarily based on patient and disease characteristics on admission.

Technical informations