Scholarlink

Abstract <p>In this paper, we propose a method for constructing classification models for three or more ordered classes when the initial sample is sufficient only to construct a binary classifier capable of recognizing the top and bottom classes relative to the class order. The classification model is constructed based on the available information about the distribution of all classes in the general population and the information about the frequency of positive result occurrence in the existing binary classifier for each ordered class. This method is based on the missing sample simulation modeling technique, which uses the Monte Carlo approach. To&#xa0;illustrate the proposed method, we consider a model that solves the problem of detecting the degree of carbohydrate metabolism disorder (CMD) across three classes with sufficiently high quality, based on a series of electrocardiograms (ECGs) with 11 or more ECG measurements per patient.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

The Use of the Missing Sample Simulation Modeling to Create a Classification Model for Three or More Classes by the Example of the Carbohydrate Metabolism Disorder Degree Detection Problem

  • 期刊论文

  • 发表日期：

    2026年2月1日

查看全文
  • R. S. Novikov,
  • M. A. Novopashin,
  • B. A. Pozin

摘要

Abstract

In this paper, we propose a method for constructing classification models for three or more ordered classes when the initial sample is sufficient only to construct a binary classifier capable of recognizing the top and bottom classes relative to the class order. The classification model is constructed based on the available information about the distribution of all classes in the general population and the information about the frequency of positive result occurrence in the existing binary classifier for each ordered class. This method is based on the missing sample simulation modeling technique, which uses the Monte Carlo approach. To illustrate the proposed method, we consider a model that solves the problem of detecting the degree of carbohydrate metabolism disorder (CMD) across three classes with sufficiently high quality, based on a series of electrocardiograms (ECGs) with 11 or more ECG measurements per patient.