| Baranov, V. S. "Genome Paths: A Way to Personalized and Predictive Medicine." Acta Naturae. A.I. Gordeyev, Oct. 2009. Web. 21 Apr. 2017. |
I trust this source because the author's article was published on the US National Library of Medical Sciences website. |
| Cohen, Joshua T., Ph.D., Peter J. Neumann, Sc.D., and Milton C. Weinstein, Ph.D. "Does Preventive Care Save Money? Health Economics and the Presidential Candidates — NEJM." New England Journal of Medicine. The New England Journal of Medicine, 14 Feb. 2008. Web. 21 Apr. 2017. |
This is a credible source because the authors have doctorate degrees and their article was published in the reputable New England Journal of Medicine.
Dobbins, Nicholas. Interview on March 17, 2017 |
| Dobbins, Nicholas. Interview on March 17, 2017 |
Nicholas Dobbins is an application developer who worked on the Microsoft Amalga Data Warehouse that is now the Cardigm Intelligence Platform. He has a lot of experience with big data analytics. |
| Faggella, Daniel. "Machine Learning Healthcare Applications - 2016 and Beyond -."TechEmergence.com. TechEmergence, 16 Mar. 2017. Web. 21 Apr. 2017. |
Daniel Faggella is the founder of TechEmergence, an artificial intelligence market research firm. TechEmergence has been referenced by notable organizations including the World Economic Forum and the Pew Research Center. Therefore I trust this source. |
| Hu, Y.J., and D.Y. Lin. "Analysis of Untyped SNPs: Maximum Likelihood and Imputation Methods." Genetic Epidemiology. U.S. National Library of Medicine, Dec. 2010. Web. 21 Apr. 2017. |
This article is trust-worthy because it was published by the U.S. National Library of Medicine. |
| Marr, Bernard. "How Machine Learning, Big Data And AI Are Changing Healthcare Forever." Forbes. Forbes Magazine, 23 Sept. 2016. Web. 21 Apr. 2017. |
Bernard Marr is the author of "Big Data in Practice" and "Big Data." He has delivered many keynote presentations and provides expert advice on big data and analytics to many of the worlds' leading firms. So I trust this source. |
| Reed, Eric, Sara Nunez, David Kulp, Jing Qian, Muredach P. Reilly, and Andrea S. Foulkes. "A Guide to Genome‐wide Association Analysis and Post‐analytic Interrogation."Statistics in Medicine. Wiley Online Library, 06 Sept. 2015. Web. 21 Apr. 2017. |
All of the above authors have stellar credentials and their writing is very detailed and informative. So I trust this source. |
| Sheridan, Kelley. "Major Cyberattacks On Healthcare Grew 63% In 2016." Dark Reading. DarkReading, 22 Dec. 2016. Web. 21 Apr. 2017. |
This article cities many statistics from credible sources and hence I trust it. |
| Solgi, Mojtaba. Interview on March 20, 2017 |
Mojtaba Solgi is a senior engineer at Uber. He works on Uber's machine-learned maps and has much experience in the field of machine learning and artificial intelligence. |
| Tedeschi, Bob. "How Machine Learning Could Revolutionize Medicine." STAT. STAT, 03 Oct. 2016. Web. 21 Apr. 2017. |
Bob Tedeschi has been a columnist and feature writer for the New York Times for 16 years so I trust his article's credibility. |