CIN classification and prediction using machine learning methods
Anastasia Chirkina, Marina Medvedeva, Evgeny I. Komotskiy · AIP conference proceedings · 2017
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.