Optimizing acute stroke outcome prediction models: Comparison of generalized regression neural networks and logistic regressions

BACKGROUND: Generalized regression neural network (GRNN) and logistic regression (LR) are extensively used in the medical field; however, the better model for predicting stroke outcome has not been established. The primary goal of this study was to compare the accuracies of GRNN and LR models to ide...

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Detalles Bibliográficos
Autores principales: Qu, Sheng, Zhou, Mingchao, Jiao, Shengxiu, Zhang, Zeyu, Xue, Kaiwen, Long, Jianjun, Zha, Fubing, Chen, Yuan, Li, Jiehui, Yang, Qingqing, Wang, Yulong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094516/
https://www.ncbi.nlm.nih.gov/pubmed/35544482
http://dx.doi.org/10.1371/journal.pone.0267747

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094516/
https://www.ncbi.nlm.nih.gov/pubmed/35544482
http://dx.doi.org/10.1371/journal.pone.0267747

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