Cargando…
Assessment of the Performances of Adaptive Neuro-Fuzzy Inference System and Two Statistical Methods for Diagnosing Coronary Artery Disease
BACKGROUND: The accurate diagnosis of cardiac disease is vital in managing patients’ health. Data mining and machine learning techniques play an important role in the diagnosis of heart disease. We aimed to examine the diagnostic performances of an adaptive neuro-fuzzy inference system (ANFIS) for p...
Autores principales: | Rajabzadeh, Zahra, Akbari Sharak, Nooshin, Esmaeili, Habibollah, Ghayour-Mobarhan, Majid, Shakeri, Mohammad Taghi, Pasdar, Zahra |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Iran University of Medical Sciences
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329502/ https://www.ncbi.nlm.nih.gov/pubmed/37426483 http://dx.doi.org/10.47176/mjiri.37.46 |
Ejemplares similares
-
Diagnosing Breast Cancer Based on the Adaptive Neuro-Fuzzy Inference System
por: Chidambaram, S., et al.
Publicado: (2022) -
Body Fat Distribution and Its Association with Cardiovascular Risk Factors in Adolescent Iranian Girls
por: Mirhosseini, Naghmeh Zahra, et al.
Publicado: (2012) -
The Prevalence of Hepatitis B Virus Infection in Mashhad, Iran: A Population-Based Study
por: Shakeri, Mohammad Taghi, et al.
Publicado: (2013) -
The Prevalence of Hepatitis C Virus in Mashhad, Iran: A Population-Based Study
por: Shakeri, Mohammad Taghi, et al.
Publicado: (2013) -
A Novel Splice Site Variant in the LDLRAP1 Gene Causes Familial Hypercholesterolemia
por: Ahangari, Najmeh, et al.
Publicado: (2021)