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. 2017 Nov 1;3(11):1463-1464.
doi: 10.1001/jamaoncol.2017.0473.

Will Machine Learning Tip the Balance in Breast Cancer Screening?

Affiliations

Will Machine Learning Tip the Balance in Breast Cancer Screening?

Andrew D Trister et al. JAMA Oncol. .
No abstract available

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References

    1. Breast Cancer Surveillance Consortium (BCSC). Performance measures for 1,838,372 screening mammography examinations from 2004 to 2008 by age–based on BCSC data through 2009. National Cancer Institute. http://breastscreening.cancer.gov/data/performance/screening/2009/perf_a.... Accessed January 28, 2017.
    1. Welch HG, Prorok PC, O’Malley AJ, Kramer BS. Breast-cancer tumor size, overdiagnosis, and mammography screening effectiveness. N Engl J Med. 2016;375(15):1438–1447. - PubMed
    1. Darcy AM, Louie AK, Roberts LW. Machine learning and the profession of medicine. JAMA. 2016;315(6):551–552. - PubMed
    1. Obermeyer Z, Emanuel EJ. Predicting the future – big data, machine learning, and clinical medicine. N Engl J Med. 2016;375(13):1216–1219. - PMC - PubMed
    1. Lehman CD, Wellman RD, Buist DS, Kerlikowske K, Tosteson AN, Miglioretti DL; Breast Cancer Surveillance Consortium. Diagnostic accuracy of digital screening mammography with and without computer-aided detection. JAMA Intern Med. 2015;175(11):1828–1837. - PMC - PubMed

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