Estimation Medicine for Diseases System to Support Medical Diagnosis by Expert System

Abstract: Researches confirmed that 70 thousand cases of death, which happen yearly in the world, were because of the misprescribing of the drug itself or its dose (overdose or lower dose). Choosing the wrong alternative drug inspired the professionals in the healthcare field to the importance of assigning the best technologies to decrease the percentages of the therapeutic methods in giving the drug to prevent mistakes in prescribing the suitable drug. A system based on Rete Algorithm is proposed where the best-chosen medicine is offered through the suggested system. Selection of Estimation Medicine for Diseases (EMD) System is introduced where the diagnosis is made basically according to the symptoms and the medical history of the patient. This research aims to acquire a good model using this algorithm to obtain more accurate choices of medicine. The system (EMD) is tested by the doctors in Iraqi hospitals and it has been found that there is no other systems that can be compared to EMD system. The accuracy of estimating the appropriate medicine for heart diseases is approximately (87.26%).

Noor T. Mahmood. “Estimation Medicine for Diseases System to Support Medical Diagnosis by Expert System”. International Journal of Advanced Computer Science and Applications (IJACSA) 7.9 (2016). http://dx.doi.org/10.14569/IJACSA.2016.070919

@article{Mahmood2016,
title = {Estimation Medicine for Diseases System to Support Medical Diagnosis by Expert System},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070919},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070919},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {9},
author = {Noor T. Mahmood}
}