Novel Prehospital Prediction Model of Large Vessel Occlusion Using Artificial Neural Network

Background: Identifying large vessel occlusion (LVO) patients in the prehospital triage stage to avoid unnecessary and costly delays is important but still challenging. We aim to develop an artificial neural network (ANN) algorithm to predict LVO using prehospital accessible data including demograph...

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Detalles Bibliográficos
Autores principales: Chen, Zhicai, Zhang, Ruiting, Xu, Feizhou, Gong, Xiaoxian, Shi, Feina, Zhang, Meixia, Lou, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028566/
https://www.ncbi.nlm.nih.gov/pubmed/29997494
http://dx.doi.org/10.3389/fnagi.2018.00181

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028566/
https://www.ncbi.nlm.nih.gov/pubmed/29997494
http://dx.doi.org/10.3389/fnagi.2018.00181

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