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- 2019
Comparative Study of Back Propagation Artificial Neural Networks and Logistic Regression Model in Predicting Poor Prognosis after Acute Ischemic StrokeKeywords: Back propagation artificial neural networks, Logistic regression model, Acute ischemic stroke, Poor outcome, Clinical variables Abstract: 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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