Prediction-Driven Decision Support for Patients With Mild Stroke: A Model Based on Machine Learning Algorithms

Background and Purpose: Treatment for mild stroke remains an open question. We aim to develop a decision support tool based on machine learning (ML) algorithms, called DAMS (Disability After Mild Stroke), to identify mild stroke patients who would be at high risk of post-stroke disability (PSD) if t...

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Detalles Bibliográficos
Autores principales: Lin, Xinping, Lin, Shiteng, Cui, XiaoLi, Zou, Daizun, Jiang, FuPing, Zhou, JunShan, Chen, NiHong, Zhao, Zhihong, Zhang, Juan, Zou, Jianjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733999/
https://www.ncbi.nlm.nih.gov/pubmed/35002923
http://dx.doi.org/10.3389/fneur.2021.761092

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733999/
https://www.ncbi.nlm.nih.gov/pubmed/35002923
http://dx.doi.org/10.3389/fneur.2021.761092

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