Cargando…
Bayesian Optimization with Support Vector Machine Model for Parkinson Disease Classification
Parkinson’s disease (PD) has become widespread these days all over the world. PD affects the nervous system of the human and also affects a lot of human body parts that are connected via nerves. In order to make a classification for people who suffer from PD and who do not suffer from the disease, a...
Autores principales: | Elshewey, Ahmed M., Shams, Mahmoud Y., El-Rashidy, Nora, Elhady, Abdelghafar M., Shohieb, Samaa M., Tarek, Zahraa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961102/ https://www.ncbi.nlm.nih.gov/pubmed/36850682 http://dx.doi.org/10.3390/s23042085 |
Ejemplares similares
-
Leveraging Technology for the Wellbeing of Individuals With Autism Spectrum Disorder and Their Families During Covid-19
por: Doenyas, Ceymi, et al.
Publicado: (2021) -
Optimizing HCV Disease Prediction in Egypt: The hyOPTGB Framework
por: Elshewey, Ahmed M., et al.
Publicado: (2023) -
An Optimized Model Based on Deep Learning and Gated Recurrent Unit for COVID-19 Death Prediction
por: Tarek, Zahraa, et al.
Publicado: (2023) -
Support vector machines and perceptrons: learning, optimization, classification, and application to social networks
por: Murty, MN, et al.
Publicado: (2016) -
Estimation and Optimization of Tool Wear in Conventional Turning of 709M40 Alloy Steel Using Support Vector Machine (SVM) with Bayesian Optimization
por: Alajmi, Mahdi S., et al.
Publicado: (2021)