Machine learning Helps in Quickly Diagnosis Cases of "New Corona"

Maad M. Mijwil, I. Adamopoulos, Pramila Pudasaini
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Abstract

Machine learning is considered one of the most significant techniques that play a vital role in diagnosing the Coronavirus. It is a set of advanced algorithms capable of analysing medical data and identifying patterns and behaviours of diseases. It is used to interpret medical images, giving details of each image with high accuracy and efficiency, such as chest X-ray images. These algorithms are trained on a large set of images to recognise patterns that indicate the presence of infection with the Coronavirus (COVID-19). This article will provide a brief overview of the importance of machine learning in diagnosing COVID-19 by processing and analysing medical image data and helping physicians and healthcare workers provide distinguished and influential care for patients infected with this virus.
机器学习帮助快速诊断 "新日冕 "病例
机器学习被认为是在诊断冠状病毒方面发挥重要作用的最重要技术之一。它是一套先进的算法,能够分析医疗数据并识别疾病的模式和行为。它用于解读医学图像,准确高效地提供每张图像的细节,如胸部 X 光图像。这些算法是在大量图像上训练出来的,可以识别出表明存在冠状病毒(COVID-19)感染的模式。本文将简要介绍机器学习在通过处理和分析医疗图像数据诊断 COVID-19 方面的重要性,并帮助医生和医护人员为感染这种病毒的患者提供卓越和有影响力的护理。
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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