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Эрик Тополь

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105. S. Fairclough, "Physiological Data Must Remain Confidential," Nature 505 (2014): 263.

Глава 13

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6. E. Topol, "Individualized Medicine from Prewomb to Tomb," Cell 157 (2014): 241–253.

7a. M. Petronzio, "How One Woman Hid Her Pregnancy from Big Data," Mashable, April 26, 2014, http://mashable.com/2014/04/26/big-data-pregnancy/.

7b. D. Harris, "How Machine Learning is Saving Lives While Saving Hospitals Money," Gigaom, July 14, 2014, http://gigaom.com/2014/07/14/how-machine-learning-is-saving-lives-while-saving-hospitals-money/.

7c. M. Evans, "Data Collection Could Stump Next Phase of Predictive Analytics," Modern Health– care, July 12, 2014, http://www.modernhealthcare.com/article/20140712/M AGA ZINE/307129969/?template=printpicart.

8. A. Pandey, K. Abdullah, and M. H. Drazner, "Impact of Vice President Cheney on Public Interest in Left Ventricular Assist Devices and Heart Transplantation," American Journal of Cardiolog y 113 (2014): 1529–1531.

9. C. Anderson, "The End of Theory: The Data Deluge Makes the Scientific Method Obsolete," Wired, June 23, 2008, http://archive.wired.com/science/discoveries/magazine/16-07/pb_theory.

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13. D. Lazer et al., "The Parable of Google Flu: Traps in Big Data Analysis," Science 343 (2014):1203–1205.

14. A. C. Madrigal, "In Defense of Google Flu Trends," The Atlantic, March 2014, http://www.theatlantic.com/technology/print/2014/03/in-defense-of-google-flu-trends/359688/.

15. S. Lohr, "Google Flu Trends: The Limits of Big Data," New York Times, March 28, 2014, http://bits.blogs.nytimes.com/2014/03/28/google-flu-trends-the-limits-of-big-data/.

16. B. Schiller, "Predicting Contagious Outbreaks Using Your Most Popular Friends," Fast Company, April 25, 2014, http://www.fastcoexist.com/3029058/predicting-contagious-outbreaks-using-your-most-popular-friends.