International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Finding Biomarker Genes for Type 2 Diabetes Mellitus using Chi-2 Feature Selection Method and Logistic Regression Supervised Learning Algorithm

  • Alshamlan, Hala M (Information Technology Department College of Computer and Information King Saud University)
  • Received : 2021.02.05
  • Published : 2021.02.28
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Abstract

Type 2 diabetes mellitus (T2D) is a complex diabetes disease that is caused by high blood sugar, insulin resistance, and a relative lack of insulin. Many studies are trying to predict variant genes that causes this disease by using a sample disease model. In this paper we predict diabetic and normal persons by using fisher score feature selection, chi-2 feature selection and Logistic Regression supervised learning algorithm with best accuracy of 90.23%.

Keywords

References

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