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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...
Tallennettuna:
| Julkaisussa: | Open Med (Wars) |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
De Gruyter
2019
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| Aiheet: | |
| Linkit: | 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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