Cargando…
Predicting infarction growth rate II using ANFIS-based binary particle swarm optimization technique in ischemic stroke
Ischemic stroke, a severe medical condition triggered by a blockage of blood flow to the brain, leads to cell death and serious health complications. One key challenge in this field is accurately predicting infarction growth - the progressive expansion of damaged brain tissue post-stroke. Recent adv...
Autores principales: | Al-Ali, Afnan, Qidwai, Uvais, Kamran, Saadat |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518723/ https://www.ncbi.nlm.nih.gov/pubmed/37753352 http://dx.doi.org/10.1016/j.mex.2023.102375 |
Ejemplares similares
-
ANFIS-Net for automatic detection of COVID-19
por: Al-ali, Afnan, et al.
Publicado: (2021) -
Prediction of infarction volume and infarction growth rate in acute ischemic stroke
por: Kamran, Saadat, et al.
Publicado: (2017) -
Binary particle swarm optimization for operon prediction
por: Chuang, Li-Yeh, et al.
Publicado: (2010) -
Binary Restructuring Particle Swarm Optimization and Its Application
por: Zhu, Jian, et al.
Publicado: (2023) -
Inflation rate modeling: Adaptive neuro-fuzzy inference system approach and particle swarm optimization algorithm (ANFIS-PSO)
por: Robati, Fateme Nazari, et al.
Publicado: (2020)