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Better medicine through machine learning: What’s real, and what’s artificial?

Author

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  • Suchi Saria
  • Atul Butte
  • Aziz Sheikh

Abstract

Machine Learning Special Issue Guest Editors Suchi Saria, Atul Butte, and Aziz Sheikh cut through the hyperbole with an accessible and accurate portrayal of the forefront of machine learning in clinical translation.

Suggested Citation

  • Suchi Saria & Atul Butte & Aziz Sheikh, 2018. "Better medicine through machine learning: What’s real, and what’s artificial?," PLOS Medicine, Public Library of Science, vol. 15(12), pages 1-5, December.
    • Handle: RePEc:plo:pmed00:1002721
    DOI: 10.1371/journal.pmed.1002721
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    References listed on IDEAS

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    1. Sara Fontanella & Clément Frainay & Clare S Murray & Angela Simpson & Adnan Custovic, 2018. "Machine learning to identify pairwise interactions between specific IgE antibodies and their association with asthma: A cross-sectional analysis within a population-based birth cohort," PLOS Medicine, Public Library of Science, vol. 15(11), pages 1-22, November.
    2. Haotian Lin & Erping Long & Xiaohu Ding & Hongxing Diao & Zicong Chen & Runzhong Liu & Jialing Huang & Jingheng Cai & Shuangjuan Xu & Xiayin Zhang & Dongni Wang & Kexin Chen & Tongyong Yu & Dongxuan W, 2018. "Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study," PLOS Medicine, Public Library of Science, vol. 15(11), pages 1-17, November.
    3. Pranav Rajpurkar & Jeremy Irvin & Robyn L Ball & Kaylie Zhu & Brandon Yang & Hershel Mehta & Tony Duan & Daisy Ding & Aarti Bagul & Curtis P Langlotz & Bhavik N Patel & Kristen W Yeom & Katie Shpanska, 2018. "Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists," PLOS Medicine, Public Library of Science, vol. 15(11), pages 1-17, November.
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