Comparison of ischemic stroke diagnosis models based on machine learning

BACKGROUND: The incidence, prevalence, and mortality of ischemic stroke (IS) continue to rise, resulting in a serious global disease burden. The prediction models have a great value in the early prediction and diagnosis of IS. METHODS: The R software was used to screen the differentially expressed g...

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Detalles Bibliográficos
Autores principales: Yang, Wan-Xia, Wang, Fang-Fang, Pan, Yun-Yan, Xie, Jian-Qin, Lu, Ming-Hua, You, Chong-Ge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762505/
https://www.ncbi.nlm.nih.gov/pubmed/36545400
http://dx.doi.org/10.3389/fneur.2022.1014346

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762505/
https://www.ncbi.nlm.nih.gov/pubmed/36545400
http://dx.doi.org/10.3389/fneur.2022.1014346

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