CIN Classification and Prediction Using Machine Learning Methods

被引：7

作者：

Chirkina, Anastasia ^{[1
]}

Medvedeva, Marina ^{[1
]}

Komotskiy, Evgeny ^{[1
]}

机构：

[1] Ural Fed Univ, Grad Sch Econ & Management, Mira 19, Ekaterinburg 620002, Russia

来源：

APPLIED MATHEMATICS AND COMPUTER SCIENCE | 2017年 / 1836卷

关键词：

D O I：

10.1063/1.4981950

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The aim of this paper is a comparison of the existing classification algorithms with different parameters, and selection those ones, which allows solving the problem of primary diagnosis of cervical intraepithelial neoplasia (CIN), as it characterizes the condition of the body in the precancerous stage. The paper describes a feature selection process, as well as selection of the best models for a multiclass classification.

引用

页数：5

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[8]

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