Prediction of Intracranial Aneurysm Risk using Machine Learning

An efficient method for identifying subjects at high risk of an intracranial aneurysm (IA) is warranted to provide adequate radiological screening guidelines and effectively allocate medical resources. We developed a model for pre-diagnosis IA prediction using a national claims database and health e...

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Detalles Bibliográficos
Autores principales: Heo, Jaehyuk, Park, Sang Jun, Kang, Si-Hyuck, Oh, Chang Wan, Bang, Jae Seung, Kim, Tackeun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181629/
https://www.ncbi.nlm.nih.gov/pubmed/32332844
http://dx.doi.org/10.1038/s41598-020-63906-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181629/
https://www.ncbi.nlm.nih.gov/pubmed/32332844
http://dx.doi.org/10.1038/s41598-020-63906-8

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