سەنتەری ڕاوێژکاری دەروونی و کۆمەڵایەتی زانکۆی جیهان-سلێمانی سیمینارێکی سازکرد بۆ مامۆستایان بە ناونیشانی (شەش کڵاوەکەی بیرکردنەوە)
Lecturer and researcher Nozad Hussein Mahmood, the Director of the Biostatistics Consulting Unit at the Research Center of Cihan University-Sulaimaniya, has published a research paper in the esteemed international journal “Results in Engineering”. The study, entitled “Investigating Surgical Risk in Coronary Artery Disease: Utilizing Ordinal Regression for Predictive Modeling,” presents an innovative statistical method to predict the severity of cardiovascular conditions.
In this study, Dr. Nozad and his research team employed an ordinal regression model using a Negative Log-log link function to assess the likelihood of patients having multiple blocked arteries based on various clinical and lifestyle factors. The model demonstrated a strong goodness-of-fit with the observed data and identified significant predictors, including blood urea levels, low-density lipoprotein (LDL) cholesterol levels, hemoglobin (HGB), red cell distribution width (RDW), and smoking status. Notably, the research found that smoking significantly increases the odds of having multiple blocked arteries by a factor of 3.27.
The research employed advanced statistical modeling and diagnostic techniques to assess risk factors, aiming to improve the predictive accuracy of coronary artery disease severity. This work makes a valuable contribution to identifying individuals at higher risk, enabling earlier and more effective medical interventions. The findings underscore the crucial role of robust statistical modeling in cardiovascular risk assessment, enabling healthcare providers to make more informed decisions about patient treatment and preventive care strategies.
The journal is indexed in Scopus (Q1) and has a CiteScore of 7.3 and impact factor =6.
The article can be found at the following link: https://doi.org/10.1016/j.rineng.2025.105588
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