Authors :
Munsif J. Ahseen; A. N. Salihu; Afaf. A. Jibril
Volume/Issue :
Volume 6 - 2021, Issue 12 - December
Google Scholar :
http://bitly.ws/gu88
Scribd :
https://bit.ly/3ryM7vm
DOI :
https://doi.org/10.5281/zenodo.5887010
Abstract :
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.
Keywords :
Health care management, health quality, intellectual disability, ANFIS, MLR, Administrative health workers.
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.
Keywords :
Health care management, health quality, intellectual disability, ANFIS, MLR, Administrative health workers.
