第四十七章 预测新冠病毒传染性

教学资料

• 教学参考
• 课件
• 小清爱提问：人工智能如何预测新冠病毒传染性 ？ [1]

扩展阅读

• AI100问：人工智能如何预测新冠病毒传染性 ？ [2]
• AI100问：人工智能如何预测新冠疫情 [3]
• 全球新冠疫情数据 [4]
• 新冠疫情：人工智能算法能“听咳嗽声音辨识新冠病毒”[5]
• 2021年人工智能将在抗疫中再显身手 [6]
• 人工智能技术在疫情中的五大应用 [7]

视频展示

• AI for COVID-19 [8]
• MIT: detecting COVID by cough COVID.mp4

开发者资源

• Pango 命名法 [9]
• GISAID dataset [10]
• 新冠病毒传染性预测程序源码 [11]

高级读者

• Jake Epstein , A CDC graph shows just how different the Omicron wave is compared to previous COVID-19 surges [12]
• Obermeyer F, Jankowiak M, Barkas N, et al. Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitness[J]. Science, 2022, 376(6599): 1327-1332. [13]
• Vaishya R, Javaid M, Khan I H, et al. Artificial Intelligence (AI) applications for COVID-19 pandemic[J]. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 2020, 14(4): 337-339. [14]
• Zhou Y, Wang F, Tang J, et al. Artificial intelligence in COVID-19 drug repurposing[J]. The Lancet Digital Health, 2020, 2(12): e667-e676. [15]
• Naudé W. Artificial intelligence vs COVID-19: limitations, constraints and pitfalls[J]. AI & society, 2020, 35(3): 761-765. [16]