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使用DERGA,一种新的机器学习算法,预测COVID-19的严重程度

Panagiotis G Asteris1, Amir H Gandomi2, Danial J Armaghani3

  • 1Computational Mechanics Laboratory, School of Pedagogical and Technological Education, Athens, Greece.

European journal of internal medicine
|March 8, 2024
PubMed
概括

预测COVID-19重症监护室 (ICU) 入院风险至关重要. 使用四种基本血液检测的新算法在识别高风险患者方面实现了97.12%的准确性,有助于临床管理.

关键词:
人工智能的人工智能是人工智能.在 COVID-19 疫情中,分类算法的分类算法.德尔加 (DERGAGA) 是一个非常严重的疾病.遗传学 遗传学 是一种遗传学.这就是SARS-CoV2病毒.血液学标志物 血液学标志物

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Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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