Development of a Complication- and Treatment-Aware Prediction Model for Favorable Functional Outcome in Aneurysmal Subarachnoid Hemorrhage Based on Machine Learning. Issue 2 (13th January 2021)
- Record Type:
- Journal Article
- Title:
- Development of a Complication- and Treatment-Aware Prediction Model for Favorable Functional Outcome in Aneurysmal Subarachnoid Hemorrhage Based on Machine Learning. Issue 2 (13th January 2021)
- Main Title:
- Development of a Complication- and Treatment-Aware Prediction Model for Favorable Functional Outcome in Aneurysmal Subarachnoid Hemorrhage Based on Machine Learning
- Authors:
- Maldaner, Nicolai
Zeitlberger, Anna M
Sosnova, Marketa
Goldberg, Johannes
Fung, Christian
Bervini, David
May, Adrien
Bijlenga, Philippe
Schaller, Karl
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 - Abstract:
- Is Part Of:
- Neurosurgery. Volume 88:Issue 2(2021)
- Journal:
- Neurosurgery
- Issue:
- Volume 88:Issue 2(2021)
- Issue Display:
- Volume 88, Issue 2 (2021)
- Year:
- 2021
- Volume:
- 88
- Issue:
- 2
- Issue Sort Value:
- 2021-0088-0002-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01-13
- Subjects:
- Aneurysmal subarachnoid hemorrhage -- Machine learning -- Complication- and treatment-aware -- Outcome prediction
Nervous system -- Surgery -- Periodicals
617.48005 - Journal URLs:
- https://academic.oup.com/neurosurgery ↗
http://www.neurosurgery-online.com ↗
https://journals.lww.com/neurosurgery/pages/default.aspx ↗
http://journals.lww.com ↗ - DOI:
- 10.1093/neuros/nyaa401 ↗
- Languages:
- English
- ISSNs:
- 0148-396X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6081.582000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 25583.xml