The machine learning model based on trajectory analysis of ribonucleic acid test results predicts the necessity of quarantine in recurrently positive patients with SARS-CoV-2 infection

• मुख्य लेखकों: Qi-Xiang Song (लेखक), Zhichao Jin (लेखक), Weilin Fang (लेखक), Chenxu Zhang (लेखक), Chi Peng (लेखक), Min Chen (लेखक), Xu Zhuang (लेखक), Wei Zhai (लेखक), Jun Wang (लेखक), Min Cao (लेखक), Shun Wei (लेखक), Xia Cai (लेखक), Lei Pan (लेखक), Qingrong Xu (लेखक), Junhua Zheng (लेखक)
• स्वरूप: पुस्तक
• प्रकाशित: Frontiers Media S.A., 2022-11-01T00:00:00Z.
• विषय: article
• ऑनलाइन पहुंच: Connect to this object online.

BackgroundSARS-CoV-2 patients re-experiencing positive nucleic acid test results after recovery is a concerning phenomenon. Current pandemic prevention strategy demands the quarantine of all recurrently positive patients. This study provided evidence on whether quarantine is required in those patien...