Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach

• Egile Nagusiak: Xu, Ming (Egilea), Ouyang, Liu (Egilea), Han, Lei (Egilea), Sun, Kai (Egilea), Yu, Tingting (Egilea), Li, Qian (Egilea), Tian, Hua (Egilea), Safarnejad, Lida (Egilea), Zhang, Hengdong (Egilea), Gao, Yue (Egilea), Bao, Forrest Sheng (Egilea), Chen, Yuanfang (Egilea), Robinson, Patrick (Egilea), Ge, Yaorong (Egilea), Zhu, Baoli (Egilea), Liu, Jie (Egilea), Chen, Shi (Egilea)
• Formatua: Liburua
• Argitaratua: JMIR Publications, 2021-01-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

BackgroundEffectively identifying patients with COVID-19 using nonpolymerase chain reaction biomedical data is critical for achieving optimal clinical outcomes. Currently, there is a lack of comprehensive understanding in various biomedical features and appropriate analytical approaches for enabling...