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Academic Journal of Computing & Information Science, 2021, 4(1); doi: 10.25236/AJCIS.2021.040103.

Research on Identifying Liver Diseases Based on Mathematical Models


Yishan Lin

Corresponding Author:
Yishan Lin

Holderness School, 33 Chapel Lane, Plymouth, NH 03264


Along with the economic development, people's material living standards have gradually improved and the pace of life has become faster. The pressure of work and study has brought unhealthy lifestyle to many people. Habits due to stress such as alcoholism, overeating, and staying up late have caused more people to contract liver diseases. This article studies how to use mathematical modeling to predict whether a person has liver disease through various data. Our data comes from the data of patients in the North East of Andhra Pradesh, India. The 583 recorded patients include men and women aged four to ninety years old and above, but most of them were middle-aged and elderly men. We used the calculation method of the support vector machine in mathematical modeling, let the computer try the linear and RBF kernel Support Vector Machine, and calculated the prediction boundary with relatively high accuracy. An accurate dividing line can help doctors judge whether a patient has liver disease. By entering the patient's information and comparing it with the dividing line, it can be seen which side of the line he or she falls on. The predicted result shows that the accuracy is about 72.4%. The use of a mathematical model reduces the workload of doctors and also provides convenience for patients to judge their situations.


Liver diseases, Indian patient, Support Vector Machine, Accuracy

Cite This Paper

Yishan Lin. Research on Identifying Liver Diseases Based on Mathematical Models. Academic Journal of Computing & Information Science (2021), Vol. 4, Issue 1: 15-19. https://doi.org/10.25236/AJCIS.2021.040103.


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