Modelling the Success of using Administrative Skills in Improving the Health Quality of People with Intellectual Disabilities using Adaptive Neuro-Fuzzy Inference System: A Case Study of Two Cities in Libya

One of the major goals of employing any health care administrator in any health care center is to achieve success in improving the health quality of patients through the application of various administrative skills owing to the fact that in both developed and developing countries; quality in healthcare is increasingly becoming a major health policy concern. This research explored the application of adaptive neuro-fuzzy inference system (ANFIS) and the multilinear regression (MLR) in order to simulate the success of developing skills by administrative health worker for improving health quality of people with intellectual disabilities. Five different independent variables were used in predicting the dependent variables using the ANFIS and MLR models. The performance of ANFIS in both the calibration and verification stages indicates the ability of artificial intelligence techniques over classical models such as MLR in solving issues related to health care organization management