Two ways of knowing: Big data and evidence-based medicine

Annals of Internal Medicine

Volumn 164, Issue 8, 2016, Pages 562-563

  Sim, Ida ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EVIDENCE BASED MEDICINE; HUMAN; INFORMATION PROCESSING; KNOWLEDGE;

DATASETS AS TOPIC; EVIDENCE-BASED MEDICINE; HUMANS; KNOWLEDGE;

EID: 84964490237     PISSN: 00034819     EISSN: 15393704     Source Type: Journal    
DOI: 10.7326/M15-2970     Document Type: Note

References (9)

1. Evidence-Based Medicine Working Group. Evidence-based medicine. A new approach to teaching the practice of medicine. JAMA. 1992; 268:2420-5. [PMID: 1404801]
2. Boyd D, Crawford K. Critical questions for big data. Information, Communication & Society. 2012; 15:662-79.
3. IBM Watson for Oncology. Accessed at www.ibm.com/smarter planet/us/en/ibmwatson/watson-oncology.html on 9 December 2015.
4. Savov V. Google signs deal to put sensors directly on your eye. The Verge. 15 July 2014. Accessed at www.theverge.com/2014/7/15/5900871/google-and-novartis-smart-contact-lens-partnership on 9 December 2015.
5. Press G. 6 Predictions for the $125 Billion Big Data Analytics Market in 2015. Forbes. 11 December 2014. Accessed at www. forbes.com/sites/gilpress/2014/12/11/6-predictions-for-the-125-billion-big-data-analytics-market-in-2015 on 9 December 2015.
6. Centre for Evidence-Based Medicine. Study Designs. Accessed at www.cebm.net/study-designs on 8 January 2016.
7. Zhao FH, Tiggelaar SM, Hu SY, Zhao N, Hong Y, Niyazi M, et al. A multi-center survey of HPV knowledge and attitudes toward HPV vaccination among women, government officials, and medical personnel in China. Asian Pac J Cancer Prev. 2012; 13:2369-78. [PMID: 22901224]
8. Corley CD, Mihalcea R, Mikler AR, Sanfilippo AP. Chapter 18: Predicting individual affect of health interventions to reduce HPV prevalence. In: Arabnia HR, Tran QN, eds. Software Tools and Algorithms for Biological Systems. New York: Springer Science+Business Media; 2011:181. (Advances in Experimental Medicine and Biology, Vol. 696.)
9. De Choudhury M, Gamon M, Counts S, Horvitz E. Predicting Depression via Social Media. Proceedings of the Seventh International Association for the Advancement of Artificial Intelligence Conference on Weblogs and Social Media, Boston, MA, 8-10 July 2013. Palo Alto, CA: Association for the Advancement of Artificial Intelligence Pr; 2013.