Sattari, Mohammad
Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
[ 1 ] - Design and Psychometrics of a Questionnaire for Assessing the Performance of Faculty Members in Providing Virtual Education during the Covid-19 Pandemic
Background and Purpose: Given the Covid-19 and immediate investment in providing virtual university education, it is important to measure the performance of faculty members in this area. Accordingly, this study was conducted to design and psychometrics of a questionnaire to assess the performance of faculty members in providing virtual training. Material and Methods: A descriptive study of ins...
[ 2 ] - Predicting the cause of kidney stones in patients using random forest, support vector machine and neural network
Background: Today, with the advancement of technology in various fields, the importance of recording data in the field of health is increasing so much that for many diseases around the world, including kidney disease, registration systems have been set up. This is happening in our country and in the future, the number of these systems will increase. The medical data set contains valuable inform...
[ 3 ] - Prediction of chronic kidney disease in Isfahan with extracting association rules using data mining techniques
Background: Millions of deaths occur around the world each year due to lack of access to appropriate treatment for chronic kidney disease patients. Given the importance and mortality rate of this disease, early and low-cost prediction is very important. The researchers intend to identify chronic kidney disease through the optimal combination of techniques used in different stages of data mining...
[ 4 ] - Using data mining techniques for predicting the survival rate of breast cancer patients: a review article
This review was conducted between December 2018 and March 2019 at Isfahan University of Medical Sciences. A review of various studies revealed what data mining techniques to predict the probability of survival, what risk factors for these predictions, what criteria for evaluating data mining techniques, and finally what data sources for it have been used to predict the surv...
[ 5 ] - Extracting the Hidden Patterns Affecting Mental Health through Data Mining Techniques
Background and Objective: This study was conducted to shed light on the hidden relationships, trends, and patterns of the teenagers’ mental health dataset based on data mining techniques. Materials and Methods: The proposed method has four parts as follows: data preprocessing, data cleaning, target class selection, and extracting rules. The classes included inappropriate, moderate, and accepta...
[ 6 ] - Proposed Method for Predicting COVID-19 Severity in Chronic Kidney Disease Patients Based on Ant Colony Algorithm and CHAID
Background and Objective: The COVID-19 pandemic is a phenomenon that has infected and killed many people worldwide. Underlying diseases such as diabetes mellitus, heart failure, and chronic kidney disease (CKD) can affect the severity of COVID-19 and aggravate patients' condition. This study aimed to predict the severity of the COVID-19 disease in CKD patients by combining feature selection and...
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