most citedModeling and forecasting Spread of COVID-19 epidemic in Iran until Sep 22, 2021, based on deep learning

9 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2023★ 5 cited

Evaluating LeNet Algorithms in Classification Lung Cancer from Iraq-Oncology Teaching Hospital/National Center for Cancer Diseases

Jafar Abdollahi

The advancement of computer-aided detection systems had a significant impact on clinical analysis and decision-making on human disease. Lung cancer requires more attention among th…

cs.LG2021★ 5 cited

Hybrid stacked ensemble combined with genetic algorithms for Prediction of Diabetes

Jafar Abdollahi, Babak Nouri-Moghaddam

Diabetes is currently one of the most common, dangerous, and costly diseases in the world that is caused by an increase in blood sugar or a decrease in insulin in the body. Diabete…

cs.LG2021★ 3 cited

Deep Neural Network Based Ensemble learning Algorithms for the healthcare system (diagnosis of chronic diseases)

Jafar Abdollahi, Babak Nouri-Moghaddam, Mehdi Ghazanfari

learning algorithms. In this paper, we review the classification algorithms used in the health care system (chronic diseases) and present the neural network-based Ensemble learning…

cs.LG2021★ 9 cited

Modeling and forecasting Spread of COVID-19 epidemic in Iran until Sep 22, 2021, based on deep learning

Jafar Abdollahi, Amir Jalili Irani, Babak Nouri-Moghaddam

The recent global outbreak of covid-19 is affecting many countries around the world. Due to the growing number of newly infected individuals and the health-care system bottlenecks,…

cs.LG2021★ 9 cited

Feature selection for medical diagnosis: Evaluation for using a hybrid Stacked-Genetic approach in the diagnosis of heart disease

Jafar Abdollahi, Babak Nouri-Moghaddam

Background and purpose: Heart disease has been one of the most important causes of death in the last 10 years, so the use of classification methods to diagnose and predict heart di…