Automated diagnosis of liver disorder using multilayer neuro-fuzzy
Zahra et al. · International Journal of ADVANCED AND APPLIED SCIENCES · 2019
For the last couple of decades, diagnosis is performed by expert physicians who spend a year or two to understand the complex phenomena of an organ disorder.Still, the diagnosis is not robust and there are errors due to tiredness or complexity of the disease.Our objectives are to propose an automated framework for a liver disorder which is based on the methodology of neural network techniques and fuzzy logic approaches.Abnormality of the liver is measured in a patient through a series of blood and function tests.The symptoms in a patient direct our proposed framework to suggest the procedure for the diagnosis whether it may be liver function test or liver blood test.The proposed intelligent system generates the level of abnormality based on outcomes of 4 different tests that form the input of the liver blood test in our fuzzy system.Our results show that the proposed system is not only accurate but it provides a baseline for automated systems that are robust and provide objectivity in the diagnosis and reduce the human error.