Classification of Patients with Diabetes Mellitus Using Neural Networks

被引：0

作者：

Butkevych, Mykola ^{[1
]}

Bazilevych, Kseniia ^{[1
]}

Krivtsov, Serhii ^{[1
]}

Tkachenko, Anton ^{[2
]}

机构：

[1] Natl Aerosp Univ, Kharkiv Aviat Inst, Kharkiv, Ukraine

[2] Kharkiv Natl Med Univ, Kharkiv, Ukraine

来源：

INTEGRATED COMPUTER TECHNOLOGIES IN MECHANICAL ENGINEERING - 2021 | 2022年 / 367卷

基金：

新加坡国家研究基金会;

关键词：

Diabetes mellitus; Diagnostics; Machine learning; Neural network;

D O I：

10.1007/978-3-030-94259-5_79

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The work is devoted to the actual problem of determining the diagnosis of a patient according to his biological data. The paper examines the relationship between biological data and the incidence of diabetes. An automated decision support system for analyzing and processing data based on a neural network has been developed. A neural network has been built for the classification of patients with diabetes mellitus. The simulation results show that the use of a software product based on the proposed neural network architecture will improve the accuracy of the diagnosis of diabetes mellitus by doctors.

引用

页码：1027 / 1037

页数：11

共 26 条

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