Comparing different machine learning techniques for predicting COVID-19 severity

• 主要な著者: Yibai Xiong (著者), Yan Ma (著者), Lianguo Ruan (著者), Dan Li (著者), Cheng Lu (著者), Luqi Huang (著者), the National Traditional Chinese Medicine Medical Team (著者)
• フォーマット: 図書
• 出版事項: BMC, 2022-02-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

Abstract Background Coronavirus disease 2019 (COVID-19) is still ongoing spreading globally, machine learning techniques were used in disease diagnosis and to predict treatment outcomes, which showed favorable performance. The present study aims to predict COVID-19 severity at admission by different...