Validation of prediction algorithm for risk estimation of intracranial aneurysm development using real-world data

Intracranial aneurysm (IA) is difficult to detect, and most patients remain undiagnosed, as screening tests have potential risks and high costs. Thus, it is important to develop risk assessment system for efficient and safe screening strategy. Through previously published research, we have developed...

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Detalles Bibliográficos
Autores principales: Kim, Tackeun, Choi, Jisu, Park, Won-Ju, Cho, Seunghyeon, Yoo, Yeongjae, Kim, Hyeonjun, Cho, Juhee, Joo, Jin-Deok, Oh, Chang Wan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480195/
https://www.ncbi.nlm.nih.gov/pubmed/37670075
http://dx.doi.org/10.1038/s41598-023-41986-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480195/
https://www.ncbi.nlm.nih.gov/pubmed/37670075
http://dx.doi.org/10.1038/s41598-023-41986-6

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