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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Autores principales:	Chubin Ou, Jiahui Liu, Yi Qian, Winston Chong, Dangqi Liu, Xuying He, Xin Zhang, Chuan-Zhi Duan
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	intracranial aneurysm AutoML endovascular treatment machine learning stroke Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/72a0a387dcfb46f6aad06cd082ba06b4
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Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study

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