Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study

BACKGROUND: Timely and accurate outcome prediction plays a vital role in guiding clinical decisions on acute ischemic stroke. Early condition deterioration and severity after the acute stage are determinants for long-term outcomes. Therefore, predicting early outcomes is crucial in acute stroke mana...

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Detalles Bibliográficos
Autores principales: Su, Po-Yuan, Wei, Yi-Chia, Luo, Hao, Liu, Chi-Hung, Huang, Wen-Yi, Chen, Kuan-Fu, Lin, Ching-Po, Wei, Hung-Yu, Lee, Tsong-Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994144/
https://www.ncbi.nlm.nih.gov/pubmed/35072631
http://dx.doi.org/10.2196/32508

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994144/
https://www.ncbi.nlm.nih.gov/pubmed/35072631
http://dx.doi.org/10.2196/32508

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