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Comparative Intrepretation Of Machine Learning Algorithms In Predicting The Cardiovascular Death Rate For Covid-19 Data

机译:机器学习算法预测Covid-19数据的心血管死亡率的比较解释

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Every year 31% of people die from cardiovascular disease worldwide. The big data analytics technique is very useful to Identify Heart disease and COVID-19. To control the COVID-19 spread around the world and many of the companies adapting this technology and also remote places patient reports doctors view easily to analyze health condition of the patient using IOT based big data. In 2019 COVID-19 (Novel coronavirus Disease) was recognized. COVID-19 signs of CT scan include pleural thickening and vascular enlargement. Nucleic acid detection and epidemiological tracing are using Chest CT scans counteract. To understanding of the disease COVIDE-19 the Researchers are using ML, AI (Artificial Intelligence) and natural language processing. We are using big data analytics to track the spread of this coronavirus. In this paper we discuss about Comparison of Tools in Big data Analytics using machine learning Algorithm.
机译:每年31%的人都死于全球心血管疾病。 大数据分析技术对于识别心脏病和Covid-19非常有用。 为了控制世界各地的Covid-19,以及许多适应这项技术的公司以及远程放置患者患者使用基于机置的大数据来分析医生的观点来分析患者的健康状况。 2019年,Covid-19(新型冠状病毒病)得到了认可。 Covid-19 CT扫描的迹象包括胸腔增稠和血管扩大。 核酸检测和流行病学追踪正在使用胸部CT扫描抵消。 理解疾病Covide-19,研究人员使用ML,AI(人工智能)和自然语言处理。 我们正在使用大数据分析来跟踪该冠状病毒的传播。 本文使用机器学习算法讨论了大数据分析中工具的比较。

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