Application progress of data mining technology in diabetes management
Data mining(DM)is the process of extracting potentially valuable information and knowledge from large amounts of incomplete,noisy,fuzzy,and random real-world application data.This technology integrates artificial intelligence,databases,statistics and other multidisciplinary content,providing excellent convenience for the innovation and development of diseases management-related research.In recent years,the application of DM technology to diabetes management has achieved great results in the early prevention of diabetes,the prediction of diabetes complications and the prognosis of diabetes.However,the application of data mining technology in the field of diabetes is still in the exploratory stage in China,so this paper aims to make a detailed review of the classification of data mining technology and the application and progress of data mining technology in diabetes screening,diabetes complications prediction and improvement of the management quality of diabetes patients,so that medical staffs can have a clear and intuitive understanding of the application of data mining technology in diabetes management,and find the existing problems in the application of data mining technology in diabetes management.This paper will provide evidences for the fine management of healthcare professionals to facilitate the production of research results that are beneficial to patients and healthcare providers.
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