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References
Abernethy AP, Etheredge LM, Ganz PA, Wallace P, German RR, Neti C et al. Rapid-learning system for cancer care. J Clin Oncol 2010; 28: 4268–4274.
DesRoches CM, Campbell EG, Rao SR, Donelan K, Ferris TG, Jha et al. Electronic health records in ambulatory care—a national survey of physicians. N Engl J Med 2008; 359: 50–60.
Rioth MJ, Warner, Savani BN, Jagasia M . Next generation long-term transplant clinics: improving resource utilization and the quality of care through health information technology. Bone Marrow Transplant, (e-pub ahead of print 14 September 2015; doi: 10.1038/bmt.2015.210).
Brownstein JS., Freifeld CC, Madoff LC . Digital disease detection—harnessing the Web for public health surveillance. N Engl J Med 2009; 360: 2153–2157.
Jordan MI, Mitchell TM . Machine learning: trends, perspectives, and prospects. Science 2015; 349: 255–260.
Sledge GW Jr, Miller RS, Hauser R . CancerLinQ and the future of cancer care. Am Soc Clin Oncol Educ Book 2013: 430–434.
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Hashmi, S. ‘Coming of Age’ of artificial intelligence: evolution of survivorship care through information technology. Bone Marrow Transplant 51, 41–42 (2016). https://doi.org/10.1038/bmt.2015.271
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DOI: https://doi.org/10.1038/bmt.2015.271