脑卒中预测的机器学习方法研究

2023 IX International Conference on Information Technology and Nanotechnology (ITNT) Pub Date : 2023-04-17 DOI:10.1109/ITNT57377.2023.10139121

Alina Faskhutdinova, Daria Grigorieva, Bulat Garafutdinov, V. Mokshin

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引用次数: 0

摘要

本文讨论了中风的预测方法。已经证明解决这个问题有不同的方法。本文介绍了预测中风可能性的发展模型的描述。该系统允许基于少量输入参数对这种疾病进行快速诊断。本文考虑了几种实现机器学习的方法。以支持向量机(support Vector Machine, SVM)方法为基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Investigation of Machine Learning Methods for Stroke Prediction

This article discusses methods for predicting stroke. It has been shown that there are different methods for solving the problem. The article presents a description of the developed model for predicting the likelihood of stroke. The system allows for a quick diagnosis of this disease based on a small number of input parameters. Several methods for implementing machine learning have been considered. The method of support vectors SVM (Support Vector Machine) was taken as a basis.

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2023 IX International Conference on Information Technology and Nanotechnology (ITNT)

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