Based On K-means Disease Diagnosis Research


  • Jiaqi Wu North China University of Science and Technology, Tangshan, 063210, China
  • Qingda Zhang North China University of Science and Technology, Tangshan, 063210, China
  • Linlin Zhao North China University of Science and Technology, Tangshan, 063210, China



For the diagnosis of diseases, modern medicine usually searches for diseases in the disease database to find the type of disease that matches them. The diagnosis of diseases is the first step in treatment. Then the classification of diseases is the basis of disease diagnosis. Disease classification plays an extremely important role in the scientific management of medical records and the development of modern medicine, and is a bridge connecting modern medical science. Therefore, the classification of diseases is very necessary. Based on this, this article establishes a K-means model for disease diagnosis, and combines the internationally unified disease type code ICD statistics table to classify the sample data set into infectious and parasitic diseases, tumors, diabetes and circulatory diseases The training is perfect, and finally the diagnosis classification of the disease is realized.


Disease Diagnosis, K-means, ICD


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How to Cite

Wu, J., Zhang, Q., & Zhao, L. (2020). Based On K-means Disease Diagnosis Research. Journal of Computer Science Research, 2(1), 8–11.


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