Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation

• Päätekijät: Pan, Pan (Tekijä), Li, Yichao (Tekijä), Xiao, Yongjiu (Tekijä), Han, Bingchao (Tekijä), Su, Longxiang (Tekijä), Su, Mingliang (Tekijä), Li, Yansheng (Tekijä), Zhang, Siqi (Tekijä), Jiang, Dapeng (Tekijä), Chen, Xia (Tekijä), Zhou, Fuquan (Tekijä), Ma, Ling (Tekijä), Bao, Pengtao (Tekijä), Xie, Lixin (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: JMIR Publications, 2020-11-01T00:00:00Z.
• Aiheet: article
• Linkit: Connect to this object online.

BackgroundPatients with COVID-19 in the intensive care unit (ICU) have a high mortality rate, and methods to assess patients' prognosis early and administer precise treatment are of great significance. ObjectiveThe aim of this study was to use machine learning to construct a model for the analy...