Prediction Model of Ischemic Stroke Recurrence Using PSO-LSTM in Mobile Medical Monitoring System

Aiming at the problems of low prediction accuracy and low sensitivity of traditional ischemic stroke recurrence prediction methods, which limits its application range, by introducing an adaptive particle swarm optimization (PSO) algorithm into the Long and Short-Term Memory (LSTM) model, a predictio...

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Detalles Bibliográficos
Autores principales: Li, Qingjiang, Chai, Xuejiao, Zhang, Chunqing, Wang, Xinjia, Ma, Wenhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970909/
https://www.ncbi.nlm.nih.gov/pubmed/35371252
http://dx.doi.org/10.1155/2022/8936103

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970909/
https://www.ncbi.nlm.nih.gov/pubmed/35371252
http://dx.doi.org/10.1155/2022/8936103

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