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Editorial
. 2019 Sep 1;111(9):877-879.
doi: 10.1093/jnci/djy226.

Shining Light Into the Black Box of Machine Learning

Editorial

Shining Light Into the Black Box of Machine Learning

William Hsu et al. J Natl Cancer Inst. .
No abstract available

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Figures

Figure 1.
Figure 1.
A simplified decision tree illustrating one approach for selecting appropriate machine learning algorithms. *Dataset sizes are not defined as fixed thresholds because the number of data points is often relative to the target variable and quality of data being used to train the model. Adapted from https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html.

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References

    1. Yudkowsky E. Introduction. In: Bostrom Nick, Ćirković Milan M., eds. Artificial Intelligence as a Positive and Negative Factor in Global Risk Global Catastrophic Risks. New York: Oxford University Press; 2008:308–345.
    1. Hosny A, Parmar C, Quackenbush J, Schwartz LH, Aerts HJWL.. Artificial intelligence in radiology. Nat Rev Cancer. 2018;188:500–510. - PMC - PubMed
    1. Hu L, Bell D, Antani S, et al. An observational study of deep-learning and automated evaluation of cervical images for cancer screening. J Natl Cancer Inst. 2019;1119:923–932. - PMC - PubMed
    1. Hinton G. Deep learning—a technology with the potential to transform health care. JAMA. 2018;32011:1101–1102. - PubMed
    1. Nahum-Shani I, Smith SN, Spring BJ, et al. Just-in-Time Adaptive Interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support. Ann Behav Med. 2018;526:446–462. - PMC - PubMed