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...

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Detalles Bibliográficos
Autores principales: Ou, Chubin, Liu, Jiahui, Qian, Yi, Chong, Winston, Liu, Dangqi, He, Xuying, Zhang, Xin, Duan, Chuan-Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666475/
https://www.ncbi.nlm.nih.gov/pubmed/34912282
http://dx.doi.org/10.3389/fneur.2021.735142

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666475/
https://www.ncbi.nlm.nih.gov/pubmed/34912282
http://dx.doi.org/10.3389/fneur.2021.735142

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