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基于机器学习算法的糖尿病预测

凌雄娟 王俊杰

现代信息科技2024,Vol.8Issue(14):59-63,68,6.
现代信息科技2024,Vol.8Issue(14):59-63,68,6.DOI:10.19850/j.cnki.2096-4706.2024.14.012

基于机器学习算法的糖尿病预测

Prediction of Diabetes Based on Machine Learning Algorithm

凌雄娟 1王俊杰1

作者信息

  • 1. 佛山职业技术学院,广东 佛山 528137
  • 折叠

摘要

Abstract

Diabetes is an incurable chronic disease.Early detection,early intervention,and early treatment can delay the progression of the disease and improve the treatment efficiency of patients.A prediction model based on six Machine Learning classification algorithms,such as Decision Tree,Logical Regression and XGBoost,is constructed to predict the risk of diabetes.The model takes the Pima Indian diabetes dataset as the research object,builds an effective dataset through data pre-processing and data feature analysis,uses grid search method to cross verify and find the optimal parameter combination of the algorithm,builds a super parameter and a classification model based on super parameters,and evaluates the prediction performance of the model.The experimental results show that the model has good risk prediction performance for diabetes.

关键词

糖尿病预测/分类算法/网格搜索/模型评价

Key words

diabetes prediction/classification algorithm/grid search/model evaluation

分类

信息技术与安全科学

引用本文复制引用

凌雄娟,王俊杰..基于机器学习算法的糖尿病预测[J].现代信息科技,2024,8(14):59-63,68,6.

基金项目

广东省普通高校创新团队项目(2022KCXTD060) (2022KCXTD060)

佛山市教育局2021年高校教师特色创新研究项目(2021DZXX02) (2021DZXX02)

佛山职业技术学院2023年质量工程项目(2023SZTD-004) (2023SZTD-004)

现代信息科技

2096-4706

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