“第四十七章 预测新冠病毒传染性”版本间的差异

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* AI100问:人工智能如何预测新冠病毒传染性 ? [http://aigraph.cslt.org/courses/45/AI-100-113-人工智能预测新冠病毒传染性.pdf]
 
* AI100问:人工智能如何预测新冠病毒传染性 ? [http://aigraph.cslt.org/courses/45/AI-100-113-人工智能预测新冠病毒传染性.pdf]
* AI100问:人工智能如何预测新冠疫情 [http://aigraph.cslt.org/courses/45/AI-100-24-人工智能如何预测新冠疫情.pdf]
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* AI100问:人工智能如何预测新冠疫情 [http://aigraph.cslt.org/courses/47/AI-100-24-人工智能如何预测新冠疫情.pdf]
 
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* 全球新冠疫情数据 [https://ourworldindata.org/explorers/coronavirus-data-explorer]
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* 新冠疫情:人工智能算法能“听咳嗽声音辨识新冠病毒”[http://aigraph.cslt.org/courses/47/BBC_人工智能算法能听咳嗽声音辨识新冠病毒.pdf]
  
 
==视频展示==
 
==视频展示==
  
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* AI for COVID-19 [http://aigraph.cslt.org/courses/47/AI-for-COVID.mp4]
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* MIT: detecting COVID by cough [http://aigraph.cslt.org/courses/47/AUDIO_ COVID.mp4]
  
  
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==开发者资源==
 
==开发者资源==
  
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* Pango 命名法 [https://cov-lineages.org/index.html]
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* GISAID dataset [https://gisaid.org/about-us/mission/]
 
* 新冠病毒传染性预测程序源码  [https://github.com/broadinstitute/pyro-cov]
 
* 新冠病毒传染性预测程序源码  [https://github.com/broadinstitute/pyro-cov]
  
  
 
==高级读者==
 
==高级读者==
 
  
 
* Jake Epstein , A CDC graph shows just how different the Omicron wave is compared to previous COVID-19 surges [https://www.businessinsider.com/cdc-graph-shows-difference-between-omicron-variant-previous-coronavirus-surges-2022-1]
 
* Jake Epstein , A CDC graph shows just how different the Omicron wave is compared to previous COVID-19 surges [https://www.businessinsider.com/cdc-graph-shows-difference-between-omicron-variant-previous-coronavirus-surges-2022-1]
 
* 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. [https://www.science.org/doi/epdf/10.1126/science.abm1208]
 
* 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. [https://www.science.org/doi/epdf/10.1126/science.abm1208]
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* 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. [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195043/]
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* 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. [https://www.sciencedirect.com/science/article/pii/S2589750020301928]
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* Naudé W. Artificial intelligence vs COVID-19: limitations, constraints and pitfalls[J]. AI & society, 2020, 35(3): 761-765. [https://link.springer.com/article/10.1007/s00146-020-00978-0]

2022年8月24日 (三) 14:49的版本

教学资料


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]

视频展示

  • AI for COVID-19 [6]
  • MIT: detecting COVID by cough COVID.mp4


演示链接

开发者资源

  • Pango 命名法 [7]
  • GISAID dataset [8]
  • 新冠病毒传染性预测程序源码 [9]


高级读者

  • Jake Epstein , A CDC graph shows just how different the Omicron wave is compared to previous COVID-19 surges [10]
  • 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. [11]
  • 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. [12]
  • 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. [13]
  • Naudé W. Artificial intelligence vs COVID-19: limitations, constraints and pitfalls[J]. AI & society, 2020, 35(3): 761-765. [14]