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Эрик Тополь
104. B. Dolan, "In-Depth: Consumer Health and Data Privacy Issues Beyond HIPA A,"
105. S. Fairclough, "Physiological Data Must Remain Confidential,"
Глава 13
1. E. Brynjolfsson and A. McAfee,
2. D. Hardawar, "Predictive Tech Is Getting Smarter and More Pervasive – but More Controversial, Too,"
3. V. K hosla, "Do We Need Doctors Or A lgorithms?"
4. M. Kinsley, "Have You Lost Your Mind?"
5. "A Survey of the Future of Medicine,"
6. E. Topol, "Individualized Medicine from Prewomb to Tomb,"
7a. M. Petronzio, "How One Woman Hid Her Pregnancy from Big Data,"
7b. D. Harris, "How Machine Learning is Saving Lives While Saving Hospitals Money,"
7c. M. Evans, "Data Collection Could Stump Next Phase of Predictive Analytics,"
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,"
9. C. Anderson, "The End of Theory: The Data Deluge Makes the Scientific Method Obsolete,"
10. D. Butler, "Web Data Predict Flu,"
11. S. Cook et al., "Assessing Google Flu Trends Performance in the United States During the 2009 Influenza Virus A (H1N1) Pandemic,"
12. J. Ginsberg et al., "Detecting Influenza Epidemics Using Search Engine Query Data,"
13. D. Lazer et al., "The Parable of Google Flu: Traps in Big Data Analysis,"
14. A. C. Madrigal, "In Defense of Google Flu Trends,"
15. S. Lohr, "Google Flu Trends: The Limits of Big Data,"
16. B. Schiller, "Predicting Contagious Outbreaks Using Your Most Popular Friends,"