Commentary: Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study.

Huber, Markus; Luedi, Markus M; Andereggen, Lukas (2022). Commentary: Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study. Frontiers in neurology, 13, p. 878091. Frontiers Media S.A. 10.3389/fneur.2022.878091

[img]
Preview
Text
fneur-13-878091.pdf - Published Version
Available under License Creative Commons: Attribution (CC-BY).

Download (114kB) | Preview

Item Type:

Journal Article (Further Contribution)

Division/Institute:

04 Faculty of Medicine > Department of Intensive Care, Emergency Medicine and Anaesthesiology (DINA) > Clinic and Policlinic for Anaesthesiology and Pain Therapy

UniBE Contributor:

Huber, Markus, Lüdi, Markus

ISSN:

1664-2295

Publisher:

Frontiers Media S.A.

Language:

English

Submitter:

Pubmed Import

Date Deposited:

28 Jun 2022 11:16

Last Modified:

05 Dec 2022 16:21

Publisher DOI:

10.3389/fneur.2022.878091

PubMed ID:

35756931

Uncontrolled Keywords:

AutoML endovascular treatment intracranial aneurysm machine learning stroke

BORIS DOI:

10.48350/170973

URI:

https://boris.unibe.ch/id/eprint/170973

Actions (login required)

Edit item Edit item
Provide Feedback