"PREDICTION OF DIABETES USING MACHINE LEARNING."
收藏DataCite Commons2026-02-12 更新2026-05-03 收录
下载链接：
https://ieee-dataport.org/documents/prediction-diabetes-using-machine-learning
下载链接
链接失效反馈官方服务：
资源简介：
"Today, the modern way of life for people leads their eating habits more than ever towardsfast-foods and already-to-use items. Diabetes is one of the most lethal diseases in the World.It is additionally an inventor of various varieties of disorders for example: coronary failure,blindness, urinary organ diseases etc. In such cases each individual needs to be diagnosedwith diabetes periodically by different blood tests. Such studies add considerable sums ofexpense to a large number of individuals and require facilities and time. It is possible to usemachine learning algorithms as computer aided systems to predict if a person is highlyprobable to have diabetes or not, in order to reduce huge number of people who require totake diagnosis blood tests, to save time and money.This paper focuses on developingpredictable model using various machine learning methods such as Decision Tree, LogisticRegression, na\u00efve bayes algorithm and Random Forests for predicting incident diabetes usingmedical records."
提供机构：
IEEE DataPort
创建时间：
2026-02-12
