Pre-diagnostic of diabetes with the use of statistical machine learning

被引：0
|
作者：
Dudova, Jana [1 ]
Krsak, Emil [1 ]
Kello, Tomas [1 ]
机构：
[1] Univ Zilina, Fac Management Sci & Informat, Zilina, Slovakia
来源：
2019 IEEE 15TH INTERNATIONAL SCIENTIFIC CONFERENCE ON INFORMATICS (INFORMATICS 2019) | 2019年
关键词：
Logistic regression; machine learning; R language; data mining;
D O I：
10.1109/informatics47936.2019.9119322
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The aim of this work is to make a prediction of diabetes, which included acquiring knowledge about diabetes, their habits, food income, daily activity. Processing data, producing a statistical model and implementing the model into an application. Which can predict the probability of being a diabetic, based of his lifestyle and genetic assumptions.
引用
收藏
页码：433 / 438
页数：6
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