Developing Deep LSTMs With Later Temporal Attention for Predicting COVID-19 Severity, Clinical Outcome, and Antibody Level by Screening Serological Indicators Over Time
Jiaxin Cai(Donghua University), Sheng‐ce Tao(Shanghai Jiao Tong University), He‐wei Jiang(Shanghai Jiao Tong University), Xionglin Fan(Huazhong University of Science and Technology), Qing Lei(Huazhong University of Science and Technology), Feng Wang(Tongji Hospital), Yang Li(Shanghai Jiao Tong University), Qiliang Chen(Xiamen University of Technology), Shunzhi Zhu(Xiamen University of Technology), Zhibin Guo(Xiamen University of Technology), Zhixi Wu(Xiamen University of Technology), Hongyan Hou(Tongji Hospital), Shujuan Guo(Shanghai Jiao Tong University), Shengjing Huang(Xiamen University of Technology), Shengjun Zhu(Xiamen University of Technology), Baichen Liu(Xiamen University of Technology)
Cited by 74
Related Papers
Detection of IgM and IgG antibodies in patients with coronavirus disease 2019
|Clinical & Translational Immunology|2020|415
Recapitulation of SARS-CoV-2 infection and cholangiocyte damage with human liver ductal organoids
|Protein & Cell|2020|397
SARS-CoV-2 Orf9b suppresses type I interferon responses by targeting TOM70
|Cellular and Molecular Immunology|2020|376
Two independent and interactive DNA-binding subdomains of the Pax6 paired domain are regulated by alternative splicing.
|Genes & Development|1994|362
Cohort Profile: The Dongfeng–Tongji cohort study of retired workers
|International Journal of Epidemiology|2012|295