Schematized study for tackling COVID-19 with Machine Learning (ML), Artificial Intelligence (AI), and Internet of Things (IoT)

Vrisha Sheth , Anya Priyal , Kavya Mehta , Nirali Desai , Manan Shah
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Abstract

The novel Coronavirus (COVID-19) is caused by the newly identified strain of the coronavirus family severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), whose target organ is the lungs. It has become a global pandemic, and COVID-19 poses so far unprecedented challenges to healthcare systems around the globe, particularly to those with weakened immune systems. Effective methods for managing, diagnosing, and lessening the effects of COVID-19 are critical because, by 2024, the virus has already caused over 7 million deaths. In this study, we anatomize the impacts of the latest COVID-19 virus on patients with the help of computational intelligence, like Machine learning, artificial intelligence, and IoT-enabled technologies for managing, analyzing, diagnosing, and predicting COVID-19. With tools for early identification, risk assessment, and therapy optimization, machine learning and artificial intelligence have shown tremendous promise in the healthcare industry. These tools can examine big datasets to find patterns and trends that might not be noticeable to human observers. Additionally, IoT will enable healthcare firms to monitor patient scenarios properly and reduce the readmission of COVID-19 patients. Wearable sensors and remote monitoring systems are two examples of IoT-enabled gadgets that are vital for tracking the COVID-19 virus's spread and keeping an eye on its sufferers. These gadgets can gather data in real-time on environmental variables, symptoms, and vital signs, giving medical professionals important insights into the state of their patients' health and the course of their diseases. This study will play a vital role in competing for safety considerations of reducing SARS-CoV-2, COVID-19, and exposure with the assistance of smart technology and provide much-needed information regarding the impact of COVID-19 on patients that will benefit globally.
利用机器学习 (ML)、人工智能 (AI) 和物联网 (IoT) 应对 COVID-19 的图表化研究。
新型冠状病毒(COVID-19)是由冠状病毒家族中新发现的严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)毒株引起的,其靶器官是肺部。它已成为一种全球性流行病,COVID-19 给全球的医疗保健系统,尤其是免疫系统较弱的人群带来了前所未有的挑战。管理、诊断和减轻 COVID-19 影响的有效方法至关重要,因为到 2024 年,该病毒已造成 700 多万人死亡。在这项研究中,我们借助计算智能(如机器学习、人工智能和物联网技术)来管理、分析、诊断和预测 COVID-19 病毒,从而剖析最新 COVID-19 病毒对患者的影响。借助用于早期识别、风险评估和治疗优化的工具,机器学习和人工智能在医疗保健行业大有可为。这些工具可以检查大型数据集,发现人类观察者可能无法察觉的模式和趋势。此外,物联网将使医疗保健公司能够正确监控患者的情况,减少 COVID-19 患者的再次入院。可穿戴传感器和远程监控系统是物联网小工具的两个例子,它们对于跟踪 COVID-19 病毒的传播和关注患者至关重要。这些小工具可以实时收集有关环境变量、症状和生命体征的数据,让医疗专业人员深入了解患者的健康状况和疾病进程。这项研究将在利用智能技术减少 SARS-CoV-2、COVID-19 和接触的安全考虑方面发挥重要作用,并提供有关 COVID-19 对患者影响的急需信息,从而使全球受益。
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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