人工智能方法对健康状况分类的比较分析

G. Tyulepberdinova, М.Е. Mansurova, F.R. Gusmanova, А.А. Nurakhanova, V. Barakhnin
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引用次数: 1

摘要

本文所考虑的问题之一对人类健康状况的特点具有重要意义。使用若干身体功能国际分类决定因素与人工智能算法一起工作的应用程序尚未开发,这一事实表明,该项目对于创建数字健康概况非常重要。在本文中,我们将研究国际功能分类和允许使用它的人工智能算法。我们将考虑使用人工智能算法根据国际功能分类的决定因素对获得的数据进行分类,比较预测模型并进一步优化以创建最合适的分类模型。本文介绍了研究数据处理的主要方法,从数据库中考虑与人类健康状况相关的统计方法,以及一套机器学习方法、信息搜索方法。计划研究数据分析的问题和算法及其应用,以解决人类健康状况问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COMPARATIVE ANALYSIS OF THE CLASSIFICATION OF HEALTH STATUS BY ARTIFICIAL INTELLIGENCE METHODS
This article considers one of the problems that does not lose its significance for the characteristics of the state of human health. The fact that an application for working with artificial intelligence algorithms using the determinants of the international classification of the functioning of several body functions has not yet been developed indicates the importance of this project to create a digital health profile. In this article, we will study the International Classification of Functioning and artificial intelligence algorithms that allow it to be used. We will consider the work on classifying the obtained data by classes according to the determinants of the international classification of functioning using artificial intelligence algorithms, comparing forecast models and further optimization to create the most suitable classification model. The article presents the study of the main methods of data processing, statistics related to the state of human health from the database under consideration, and a set of machine learning methods, information search methods. It is planned to study the problems and algorithms of data analysis and their application to solve problems of the state of human health.
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