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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Main Authors: Chirkina, Anastasia, Medvedeva, Marina, Komotskiy, Evgeny
Format: Conference Proceeding
Language:English
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Classification
Machine learning
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Medvedeva, Marina
Komotskiy, Evgeny
description 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.
doi_str_mv 10.1063/1.4981950
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subjects Classification
Machine learning
title CIN classification and prediction using machine learning methods
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