Associated Machine Learning Techniques based On Diabetes Based Predictions

被引：0

作者：

Jacob, Shon Mathew ^{[1
]}

Raimond, Kumudha ^{[1
]}

Kanmani, Deepa ^{[1
]}

机构：

[1] Karunya Inst Technol & Sci, Dept Comp Sci & Engn, Coimbatore, Tamil Nadu, India

来源：

PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICCS) | 2019年

关键词：

Machine Learning; Diabetes Prediction; glucose level prediction; patient control level; Hospital Readmission; DIAGNOSIS; DISEASE; SYSTEM;

D O I：

10.1109/iccs45141.2019.9065411

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Diabetes mellitus is a disease that is caused due to increased blood sugar levels because of imbalance in insulin processing by the body. It can easily be diagnosed by hospitals and has major consequences if left untreated. By using efficient and reliable data mining techniques to identify trends and predict the onset of diabetes in people will help in preventing the disease early and for treatment. Data mining is the process where we take useful information from relevant datasets by applying algorithms and frameworks. This paper does a survey on the different kinds of predictions using machine learning techniques done on diabetes patients

引用

页码：1445 / 1450

页数：6

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