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使用因果网络进行多重调解分析的教程:从早期和晚期症状诊断COVID-19的应用

Farrokh Alemi1, Vasantha Sandhya Venu, Sai Chandra Nikhil Madduru

  • 1Author Affiliations: Department of Health Administration and Policy, George Mason University, Fairfax, Virginia (Dr Alemi); Department of Computer Science and Engineering, Vardhaman College of Engineering, Hyderabad, India (Dr Sandhya Venu); Department of Information Technology, Maturi Venkata Subba Rao Engineering College, Hyderabad, India (Mr Madduru); and Department of Recreation, Parks, and Leisure Services Administration, Central Michigan University, Mount Pleasant, Michigan (Dr Lee).

Quality management in health care
|April 16, 2025
PubMed
概括

对COVID-19症状的网络分析揭示了像发烧这样的早期症状如何预测后来的症状,如寒,有助于早期诊断. 这种方法将多重回归结果集成到因果网络模型中.

关键词:
在 COVID-19 疫情中,人工智能的人工智能是人工智能.因果关系调解分析多变量分析多变量分析.网络模型 网络模型回归分析是一种回归分析.症状的顺序 症状的顺序

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