[PDF][PDF] Artificial neural network models for diagnosing heart disease: a brief review

B Zebardast, R Rashidi, T Hasanpour… - International Journal of …, 2014 - academia.edu
In recent years the incidence of heart diseases has been increasing in develo** countries.
This disease as one of the most common human disease, besides killing thousands of …

The effect of continuous parameters on the diagnosis of coronary artery disease using artificial neural networks

I Zabbah, M Hassaanzadeh - Journal of Torbat Heydariyeh …, 2017 - jms.thums.ac.ir
Background & Aim: Coronary artery disease is among the common diseases in societies.
The best method of assessing coronary artery diseases is through angiography. This study …

Comparing performance of decision tree and neural network in predicting myocardial infarction

R Safdari, M Ghazi Saeedi, M Gharooni… - Journal of …, 2014 - jpsr.mums.ac.ir
Purpose: Cardiovascular diseases are among the most common diseases in all societies.
Using data mining techniques to generate predictive models to identify those at risk for …

[PDF][PDF] Presenting a model for periodontal disease diagnosis using two artificial neural network algorithms

S Arbabi, FF Jahantigh, SA Moghadam - Health Scope, 2018 - brieflands.com
Background: Artificial neural networks (ANNs) can be used in various medical cases due to
their high performance in learning the relationship between variables. Periodontal diseases …

[HTML][HTML] Assessment of the Performances of Adaptive Neuro-Fuzzy Inference System and Two Statistical Methods for Diagnosing Coronary Artery Disease

Z Rajabzadeh, NA Sharak, H Esmaeili… - Medical Journal of the …, 2023 - ncbi.nlm.nih.gov
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 …

Investigating the factors associated with gastric cancer by neural network approach and multiple logistic regression: A case-control

A Naghipour, M Hosseini, A Rahmani… - Journal of Isfahan …, 2022 - jims.mui.ac.ir
Background: Stomach cancer is the fifth most common disease and the third cause of death
in the world. Therefore, in order to prevent and reduce the incidence of stomach cancer …

Diagnosis and prediction of obesity and its effective factors using artificial neural network: A case study of children and adolescents residing in Isfahan-Iran

M Dehghandar, A Hassani Bafrani… - … & Information Science, 2021 - jhmi.sums.ac.ir
Introduction: Overweight obesity is now so widespread in the world. This study aims to use
an artificial neural network modeling tool to develop a predictive model for the diagnosis of …

Comparing the Performance of Data Mining Algorithms in Predicting Coronary Artery Diseases

H Ayatollahi, L Gholamhosseini, M Salehi - Journal of Health and …, 2018 - jhbmi.ir
Methods: The present study was conducted via descriptive-analytical method. The research
sample included all CAD patients hospitalized in three hospitals affiliated to AJA University …

[PDF][PDF] The use of artificial intelligence techniques for the Diagnosis of periodontal disease by clinical indices

FF Jahantigh, S Arbabi - Industrial Engineering and Operations …, 2018 - ieomsociety.org
Periodontal diseases are of the common oral infectious diseases that early diagnosis is very
important. This study aims to evaluate the artificial neural network role in the periodontal …

Designing and evaluation of a decision support system for prediction of coronary artery disease

A Khosravanian, SS Ayat - Hormozgan Medical Journal, 2021 - hmj.hums.ac.ir
Introduction: Since human health is the issue of Medical Research, correct prediction of
results is of a high importance. This study applies probabilistic neural network (PNN) for …