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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...
Autores principales: | Kim, Tackeun, Choi, Jisu, Park, Won-Ju, Cho, Seunghyeon, Yoo, Yeongjae, Kim, Hyeonjun, Cho, Juhee, Joo, Jin-Deok, Oh, Chang Wan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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