Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Functional status and its related factors among stroke survivors in rehabilitation departments of hospitals in Shenzhen, China: a cross-sectional study
por: Zhou, Jing, et al.
Publicado: (2022) -
Parameter optimization of logistic regression classifiers
por: Sherwin, Jason S, et al.
Publicado: (2013) -
Stroke volume and cardiac output during 6 minute-walk tests are strong predictors of maximal oxygen uptake in people after stroke
por: Liu, Fang, et al.
Publicado: (2022) -
Applied logistic regression
por: Hosmer, David W, et al.
Publicado: (2013) -
Applied logistic regression /
por: Hosmer, David W.
Publicado: (2000)