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AutoML accurately predicts endovascular mechanical thrombectomy in acute large vessel ischemic stroke
BACKGROUND AND OBJECTIVE: Automated machine learning or autoML has been widely deployed in various industries. However, their adoption in healthcare, especially in clinical settings is constrained due to a lack of clear understanding and explainability. The aim of this study is to utilize autoML for...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569475/ https://www.ncbi.nlm.nih.gov/pubmed/37840939 http://dx.doi.org/10.3389/fneur.2023.1259958 |