Publications by authors named "Amir Reza Salehi"
In this paper, a Cluster-based Synthetic minority oversampling technique (SMOTE) Both-sampling (CSBBoost) ensemble algorithm is proposed for classifying imbalanced data. In this algorithm, a combination of over-sampling, under-sampling, and different ensemble algorithms, including Extreme Gradient Boosting (XGBoost), random forest, and bagging, is employed in order to achieve a balanced dataset and address the issues including redundancy of data after over-sampling, information loss in under-sampling, and random sample selection for sampling and sample generation. The performance of the proposed algorithm is evaluated and compared to different state-of-the-art competing algorithms based on 20 benchmark imbalanced datasets in terms of the harmonic mean of precision and recall (F1) and area under the receiver operating characteristics curve (AUC) measures.
View Article and Find Full Text PDFBackground: Many measures have been taken so far to minimize the outbreak of COVID-19, but it is still unclear to what extent people have understood the risk. Public participation plays a vital role in better and effective control of the coronavirus, and the importance of risk perception is effective in their preventive behavior. The aim of this study was to investigate the pandemic risk perception of coronavirus disease after began of pandemic in Iranian society.
View Article and Find Full Text PDFBackground: Chronic non-specific neck pain is the most prevalent neck pain with notable impacts on the quality of life in the elderly.
Objective: The impacts of the neck, core, and combined stabilization practices on pain, disability, and improvement of the neck range of motion in the elderly with chronic non-specific neck pain were examined.
Method: A quasi-experimental (open label) study was carried out through a cluster sampling in two phases in Tehran-Iran in 2017.