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

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

Background: The prediction of aneurysm treatment outcomes can help to optimize the treatment strategies. Machine learning (ML) has shown positive results in many clinical areas. However, the development of such models requires expertise in ML, which is not an easy task for surgeons.Objectives: The r...

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Bibliographic Details
Main Authors: Chubin Ou, Jiahui Liu, Yi Qian, Winston Chong, Dangqi Liu, Xuying He, Xin Zhang, Chuan-Zhi Duan
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Neurology
Subjects:
intracranial aneurysm
AutoML
endovascular treatment
machine learning
stroke
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2021.735142/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2021.735142/full

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