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

• Main Authors: Xu, Ming (Author), Ouyang, Liu (Author), Han, Lei (Author), Sun, Kai (Author), Yu, Tingting (Author), Li, Qian (Author), Tian, Hua (Author), Safarnejad, Lida (Author), Zhang, Hengdong (Author), Gao, Yue (Author), Bao, Forrest Sheng (Author), Chen, Yuanfang (Author), Robinson, Patrick (Author), Ge, Yaorong (Author), Zhu, Baoli (Author), Liu, Jie (Author), Chen, Shi (Author)
• Format: Book
• Published: JMIR Publications, 2021-01-01T00:00:00Z.
• Subjects: article
• Online Access: 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...