Jafar Abdollahi
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View article: Enhancing Skin Cancer Diagnosis (SCD) Using Swin Transformer and Late Discrete Wavelet Transform (DWT)
Enhancing Skin Cancer Diagnosis (SCD) Using Swin Transformer and Late Discrete Wavelet Transform (DWT) Open
Skin cancer is one of the dangerous cancers that threatens human life and can be seen in lesions on the patient’s skin. If this disease is not treated in time, it can threaten the patient’s life. However, with early detection of this disea…
View article: QICAR 2024 Authors Index
QICAR 2024 Authors Index Open
View article: QICAR 2024 TOC
QICAR 2024 TOC Open
View article: Diabetes Data Classification using Deep Learning Approach and Feature Selection based on Genetic
Diabetes Data Classification using Deep Learning Approach and Feature Selection based on Genetic Open
The area of deep learning research (DL) has seen significant growth in recent years and has shown incredible promise for AI in medical applications. In this approach, we have proposed a deep neural network framework for the categorization …
View article: The value of machine learning for prognosis prediction of diphenhydramine exposure: National analysis of 50,000 patients in the United States
The value of machine learning for prognosis prediction of diphenhydramine exposure: National analysis of 50,000 patients in the United States Open
Background: Diphenhydramine (DPH) is an antihistamine medication that in overdose can result in anticholinergic symptoms and serious complications, including arrhythmia and coma. We aimed to compare the value of various machine learning (M…
View article: Evaluating LeNet Algorithms in Classification Lung Cancer from Iraq-Oncology Teaching Hospital/National Center for Cancer Diseases
Evaluating LeNet Algorithms in Classification Lung Cancer from Iraq-Oncology Teaching Hospital/National Center for Cancer Diseases Open
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 the numerous diseases being examined because it affects both …
View article: Using Stacking methods based Genetic Algorithm to predict the time between symptom onset and hospital arrival in stroke patients and its related factors
Using Stacking methods based Genetic Algorithm to predict the time between symptom onset and hospital arrival in stroke patients and its related factors Open
Introduction: The early arrival of patients with acute ischemic stroke to start of treatment by recombinant tissue plasminogen activator (rt-PA) within 4.5 hours after onset of stroke and its modeling by data mining methods is an important…
View article: A hybrid method for heart disease diagnosis utilizing feature selection based ensemble classifier model generation
A hybrid method for heart disease diagnosis utilizing feature selection based ensemble classifier model generation Open
View article: Detection of Metastatic Breast Cancer from Whole-Slide Pathology Images Using an Ensemble Deep-Learning Method
Detection of Metastatic Breast Cancer from Whole-Slide Pathology Images Using an Ensemble Deep-Learning Method Open
Background: Metastasis is the main cause of death toll among breast cancer patients. Since current approaches for diagnosis of lymph node metastases are time-consuming, deep learning (DL) algorithms with more speed and accuracy are explore…
View article: Hybrid stacked ensemble combined with genetic algorithms for diabetes prediction
Hybrid stacked ensemble combined with genetic algorithms for diabetes prediction Open
View article: An Artificial Intelligence System for Detecting the Types of the Epidemic from X-rays : Artificial Intelligence System for Detecting the Types of the Epidemic from X-rays
An Artificial Intelligence System for Detecting the Types of the Epidemic from X-rays : Artificial Intelligence System for Detecting the Types of the Epidemic from X-rays Open
Since the beginning of the COVID-19 pandemic, many lives have been in danger. The visual geometry group network (VGGNet) is used in this research as a model to identify epidemic types. The dataset consisted of 1206S chest X-ray images extr…
View article: Hybrid stacked ensemble combined with genetic algorithms for Prediction of Diabetes
Hybrid stacked ensemble combined with genetic algorithms for Prediction of Diabetes Open
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. Diabetes can have detrimental effects on people's health if diagno…
View article: Deep Neural Network Based Ensemble learning Algorithms for the\n healthcare system (diagnosis of chronic diseases)
Deep Neural Network Based Ensemble learning Algorithms for the\n healthcare system (diagnosis of chronic diseases) Open
learning algorithms. In this paper, we review the classification algorithms\nused in the health care system (chronic diseases) and present the neural\nnetwork-based Ensemble learning method. We briefly describe the commonly used\nalgorithm…
View article: Deep Neural Network Based Ensemble learning Algorithms for the healthcare system (diagnosis of chronic diseases)
Deep Neural Network Based Ensemble learning Algorithms for the healthcare system (diagnosis of chronic diseases) Open
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 method. We briefly describe the commonly used algorithms a…
View article: Feature selection for medical diagnosis: Evaluation for using a hybrid Stacked-Genetic approach in the diagnosis of heart disease
Feature selection for medical diagnosis: Evaluation for using a hybrid Stacked-Genetic approach in the diagnosis of heart disease Open
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 disease is very important. If this disease is predicted befor…
View article: Modeling and forecasting Spread of COVID-19 epidemic in Iran until Sep 22, 2021, based on deep learning
Modeling and forecasting Spread of COVID-19 epidemic in Iran until Sep 22, 2021, based on deep learning Open
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, it will be useful to predict the upcoming number of patien…
View article: Accurate Detection of Breast Cancer Metastasis Using a Hybrid Model of Artificial Intelligence Algorithm
Accurate Detection of Breast Cancer Metastasis Using a Hybrid Model of Artificial Intelligence Algorithm Open
Background: Breast cancer (BC) is a prevalent disease and a major cause of mortality among women worldwide. A substantial number of BC patients experience metastasis which in turn leads to treatment failure and death. The survival rate has…
View article: Accurate Detection of Breast Cancer Metastasis Using a Hybrid Model of Artificial Intelligence Algorithm
Accurate Detection of Breast Cancer Metastasis Using a Hybrid Model of Artificial Intelligence Algorithm Open
Background: Breast cancer (BC) is a prevalent disease and a major cause of mortality among women worldwide. A substantial number of BC patients experience metastasis which in turn leads to treatment failure and death. The survival rate has…