Abstract
 
The aim of this study was to evaluate the indicators that determine equal access to higher health education opportunities and to present a model for reducing inequality in Kermanshah University of Medical Sciences.The present research is applied in terms of purpose and descriptive-analytical in terms of method. The method of collecting statistics and data was documentary and survey. The statistical population in two parts included documents and statistics of 7 faculties of Kermanshah University of Medical Sciences and students of the faculties of Kermanshah University of Medical Sciences in the academic year 2020-2021. In the documentary part, the census sampling method was used and in the descriptive part, the relative stratified random sampling method was used. In analyzing the data, TOPSIS models, path analysis, and neural networks were used. Rankings of the faculties of Kermanshah University of Medical Sciences using entropy and TOPSIS weighting techniques showed inequality between the faculties in terms of having research indicators. Scattering coefficient also showed the highest inequality in output indices and the lowest inequality in output indices. Cluster analysis and division of regions into three levels: rich, semi-rich, and poor showed that there was a difference between the faculties of Kermanshah University of Medical Sciences. The results neural networks also showed that the input index had the highest and the output index had the lowest direct impact on the inequality of the faculties of Kermanshah University of Medical Sciences.