ПРИМЕНЕНИЕ ТЕХНОЛОГИИ МАШИННОГО ОБУЧЕНИЯ ДЛЯ ДИАГНОСТИКИ COVID-19 НА ОСНОВЕ РЕНТГЕНОВСКИХ СНИМКОВ ГРУДНОЙ КЛЕТКИ

Authors

  • Индира Увалиева ВКТУ им. Д. Серикбаева

Keywords:

COVID-19, диагностика, машинное обучение, рентгеновский снимок, нейронные сети, алгоритм, анализ.

Abstract

The new coronavirus infection has caused a large-scale socio-economic crisis that requires a long time to restore peace. It turned out that the usual pace of a person's life changes within a few weeks. Here it is proved once again that digital technologies and the Internet have become an important part of human life. Therefore, the coronavirus pandemic has made many changes in the IT sphere. Today, IT technologies and Data Science, along with doctors, are fighting the coronavirus. Machine learning methods are used to separate diseased lungs from healthy ones using X-rays. This article describes the application of machine learning technology for the diagnosis of covid-19 based on chest X-rays. The study used data from the educational system of Kaggle research organizations. The method of neural networks with various parameters was used to develop the COVID-19 diagnostic algorithm based on X-rays.

Published

2023-06-30

How to Cite

Увалиева, И. (2023). ПРИМЕНЕНИЕ ТЕХНОЛОГИИ МАШИННОГО ОБУЧЕНИЯ ДЛЯ ДИАГНОСТИКИ COVID-19 НА ОСНОВЕ РЕНТГЕНОВСКИХ СНИМКОВ ГРУДНОЙ КЛЕТКИ. Вестник ВКТУ, (2), 236–247. Retrieved from https://vestnik.ektu.kz/index.php/vestnik/article/view/401