FCM-DNN: diagnosing coronary artery disease by deep accuracy fuzzy C-means clustering model

Cardiovascular disease is one of the most challenging diseases in middle-aged and older people, which causes high mortality. Coronary artery disease (CAD) is known as a common cardiovascular disease. A standard clinical tool for diagnosing CAD is angiography. The main challenges are dangerous side e...

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Bibliographic Details
Published in:Mathematical biosciences and engineering : MBE 2022-01, Vol.19 (4), p.3609-3635
Main Authors: Joloudari, Javad Hassannataj, Saadatfar, Hamid, GhasemiGol, Mohammad, Alizadehsani, Roohallah, Sani, Zahra Alizadeh, Hasanzadeh, Fereshteh, Hassannataj, Edris, Sharifrazi, Danial, Mansor, Zulkefli
Format: Article
Language:English
Subjects:
Accuracy
Aged
Angiography
Artificial Intelligence
Artificial neural networks
Cardiovascular disease
Cardiovascular Diseases
Cluster Analysis
Clustering
Coronary artery disease
Coronary Artery Disease - diagnostic imaging
Datasets
Genetic algorithms
Heart diseases
Humans
Magnetic resonance imaging
Medical imaging
Middle Aged
Neural networks
Neural Networks, Computer
Research facilities
Side effects
Support vector machines
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