Research on machine learning classification algorithms for diabetes data

Minshan Yi

doi:10.1117/12.2636526

6 May 2022 Research on machine learning classification algorithms for diabetes data

Minshan Yi

Proceedings Volume 12176, International Conference on Algorithms, Microchips and Network Applications; 1217609 (2022) https://doi.org/10.1117/12.2636526
Event: International Conference on Algorithms, Microchips, and Network Applications 2022, 2022, Zhuhai, China

Abstract

The identification of disease and diagnosis of pain are the forefront of the application of machine learning research in medicine. Machine learning is widely used in medical and other aspects, and it is also a hot issue in diabetes prevention. To provide a rapid and accurate reference for diabetes prevention and diagnosis, the research uses machine learning modeling and classification, and it analyzes the Pima Indian diabetes data set to study the model of diabetes and classification problems. The study was completed to identify diabetes based on the correct classification. Through various algorithm models, this research adjusts various parameters and selects important features to optimize the classification results of the KNN and the decision tree. Through this kind of research, certain theories and thoughts can be provided for diabetes and other diseases in the future, and then diseases can be discovered and treated early, which has very practical significance to help diagnose diseases. Through this study, the accuracy rate of the KNN model and the random forest model is 76% and 80% respectively, which is helpful for the establishment of prediction model.

Citation Download Citation

Minshan Yi "Research on machine learning classification algorithms for diabetes data", Proc. SPIE 12176, International Conference on Algorithms, Microchips and Network Applications, 1217609 (6 May 2022); https://doi.org/10.1117/12.2636526

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