Comparative Study of Back Propagation Artificial Neural Networks and Logistic Regression Model in Predicting Poor Prognosis after Acute Ischemic Stroke

OBJECTIVE: To investigate the predictive value of clinical variables on the poor prognosis at 90-day follow-up from acute stroke onset, and compare the diagnostic performance between back propagation artificial neural networks (BP ANNs) and Logistic regression (LR) models in predicting the prognosis...

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Detalhes bibliográficos
Publicado no:Open Med (Wars)
Main Authors: Liang, Yaru, Li, Qiguang, Chen, Peisong, Xu, Lingqing, Li, Jiehua
Formato: Artigo
Idioma:Inglês
Publicado em: De Gruyter 2019
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6463818/
https://ncbi.nlm.nih.gov/pubmed/30997395
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1515/med-2019-0030
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