A new machine learning algorithm with high interpretability for improving the safety and efficiency of thrombolysis for stroke patients: A hospital-based pilot study

BACKGROUND: Thrombolysis is the first-line treatment for patients with acute ischemic stroke. Previous studies leveraged machine learning to assist neurologists in selecting patients who could benefit the most from thrombolysis. However, when designing the algorithm, most of the previous algorithms...

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Detalles Bibliográficos
Autores principales: Shao, Huiling, Chan, Wing Chi Lawrence, Du, Heng, Chen, Xiangyan Fiona, Ma, Qilin, Shao, Zhiyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829886/
https://www.ncbi.nlm.nih.gov/pubmed/36636727
http://dx.doi.org/10.1177/20552076221149528

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829886/
https://www.ncbi.nlm.nih.gov/pubmed/36636727
http://dx.doi.org/10.1177/20552076221149528

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