Cargando…
Efficient Model for Coronary Artery Disease Diagnosis: A Comparative Study of Several Machine Learning Algorithms
BACKGROUND: In today's industrialized world, coronary artery disease (CAD) is one of the leading causes of death, and early detection and timely intervention can prevent many of its complications and eliminate or reduce the resulting mortality. Machine learning (ML) methods as one of the cuttin...
Autores principales: | Garavand, Ali, Salehnasab, Cirruse, Behmanesh, Ali, Aslani, Nasim, Zadeh, Amin Hassan, Ghaderzadeh, Mustafa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596250/ https://www.ncbi.nlm.nih.gov/pubmed/36304749 http://dx.doi.org/10.1155/2022/5359540 |
Ejemplares similares
-
Telemedicine in lung cancer during COVID-19 outbreak: A scoping review
por: Garavand, Ali, et al.
Publicado: (2022) -
The Virtual Reality Technology Effects and Features in Cardiology Interventions Training: A Scoping Review
por: Aslani, Nasim, et al.
Publicado: (2022) -
Telemedicine in cancer care during COVID-19 pandemic: a systematic mapping study
por: Garavand, Ali, et al.
Publicado: (2023) -
Supervised Algorithms of Machine Learning for the Prediction of Cervical Cancer
por: F., Asadi, et al.
Publicado: (2020) -
Design and Development of a Hospital-Based Coronary Artery Disease (CAD) Registry in Iran
por: Garavand, Ali, et al.
Publicado: (2023)