Prediction of Functional Outcome in Stroke Patients with Proximal Middle Cerebral Artery Occlusions Using Machine Learning Models

At present, clinicians are expected to manage a large volume of complex clinical, laboratory, and imaging data, necessitating sophisticated analytic approaches. Machine learning-based models can use this vast amount of data to create forecasting models. We aimed to predict short- and medium-term fun...

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Detalles Bibliográficos
Autores principales: Ozkara, Burak B., Karabacak, Mert, Hamam, Omar, Wang, Richard, Kotha, Apoorva, Khalili, Neda, Hoseinyazdi, Meisam, Chen, Melissa M., Wintermark, Max, Yedavalli, Vivek S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918022/
https://www.ncbi.nlm.nih.gov/pubmed/36769491
http://dx.doi.org/10.3390/jcm12030839

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918022/
https://www.ncbi.nlm.nih.gov/pubmed/36769491
http://dx.doi.org/10.3390/jcm12030839

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