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Publisher Correction: Improving the accuracy of medical diagnosis with causal machine learning

Author

Listed:
  • Jonathan G. Richens

    (Babylon Health)

  • Ciarán M. Lee

    (Babylon Health
    University College London)

  • Saurabh Johri

    (Babylon Health)

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Suggested Citation

  • Jonathan G. Richens & Ciarán M. Lee & Saurabh Johri, 2020. "Publisher Correction: Improving the accuracy of medical diagnosis with causal machine learning," Nature Communications, Nature, vol. 11(1), pages 1-1, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18310-1
    DOI: 10.1038/s41467-020-18310-1
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    Cited by:

    1. Bangfeng Wang & Yiwei Li & Mengfan Zhou & Yulong Han & Mingyu Zhang & Zhaolong Gao & Zetai Liu & Peng Chen & Wei Du & Xingcai Zhang & Xiaojun Feng & Bi-Feng Liu, 2023. "Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    2. Forney Andrew & Mueller Scott, 2022. "Causal inference in AI education: A primer," Journal of Causal Inference, De Gruyter, vol. 10(1), pages 141-173, January.
    3. Katerina Rigana & Ernst C. Wit & Samantha Cook, 2024. "Navigating Market Turbulence: Insights from Causal Network Contagion Value at Risk," Papers 2402.06032, arXiv.org.
    4. Alexander Lavin & Ciarán M. Gilligan-Lee & Alessya Visnjic & Siddha Ganju & Dava Newman & Sujoy Ganguly & Danny Lange & Atílím Güneş Baydin & Amit Sharma & Adam Gibson & Stephan Zheng & Eric P. Xing &, 2022. "Technology readiness levels for machine learning systems," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    5. Shilin Zheng & Mengdan Li, 2022. "Does aggressive tweeting by the government help to control the COVID‐19 outbreak? Evidence from China," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 30(4), pages 691-713, October.
    6. Seou Choi & Yannick Salamin & Charles Roques-Carmes & Rumen Dangovski & Di Luo & Zhuo Chen & Michael Horodynski & Jamison Sloan & Shiekh Zia Uddin & Marin Soljačić, 2024. "Photonic probabilistic machine learning using quantum vacuum noise," Nature Communications, Nature, vol. 15(1), pages 1-8, December.

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