CIN classification and prediction using machine learning methods

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 st...

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Bibliographic Details
Main Authors: Chirkina, Anastasia, Medvedeva, Marina, Komotskiy, Evgeny
Format: Conference Proceeding
Language:English
Subjects:
Classification
Machine learning
Online Access:Get full text
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Summary: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.
ISSN:0094-243X
1551-7616
DOI:10.1063/1.4981950