Yearbook of Medical Informatics, Table of Contents Yearb Med Inform 2016; 25(01): 240-246DOI: 10.15265/IY-2016-021 IMIA and Schattauer GmbH Georg Thieme Verlag KG Stuttgart Public Health and Epidemiology Informatics A. Flahault 1 Institute of Global Health, University of Geneva, Geneva, Switzerland 2 Centre Virchow-Villermé, Université Paris Descartes, Paris, France , A. Bar-Hen 2 Centre Virchow-Villermé, Université Paris Descartes, Paris, France , N. Paragios 3 Center for Visual Computing, CentraleSupélec, University of Paris-Saclay, Saint-Aubin, France 4 Inria, France › Author Affiliations Recommend Article Abstract Full Text PDF Download Keywords KeywordsBig data - learning machine - data analytics - pharmacoepidemiology - disease surveillance References References 1 Riskin D. The Next Revolution in Healthcare.. Available online at http://www.forbes.com/sites/singularity/2012/10/01/the-next-revolution-in-healthcare/ Last accessed 7/28/2016. 2 Herper M. Forbes Healthcare Summit: Using Big Data To Make Patients Better.. Available online at http://www.forbes.com/sites/matthewherper/2013/02/05/forbes-healthcare-summit-using-big-data-to-make-patients-better/#a4e34f33e4a1 Last accessed 7/27/2016. 3 Lee D, Seung S. Learning the parts of objects by non-negative matrix factorization.. Nature 1999; 401: 788-91. 4 Knapp T. Canonical correlation analysis. A general parametric significance-testing system”.. Psychological Bulletin 1978; 85 (Suppl. 02) 410-6. 5 Candes E, Romberg J, Tao T. Stable signal recovery from incomplete and inaccurate measurements.. Communications on Pure and Applied Mathematics 2006; 59 (Suppl. 08) 1207. 6 Huang J, Zhang T. The benefit of group sparsity.. The Annals of Statistics 2010; 38 (Suppl. 04) 1937-2586. 7 Schölkopf B, Smola A, Müller KR. Nonlinear component analysis as a kernel eigenvalue problem.. Neural Comput 1998; 10 (Suppl. 05) 1299-319. 8 Borg I, Groenen P. Modern Multidimensional Scaling.. Theory and Application. New York, NY: Springer; 2005 9 Tenenbaum J, de Silva V, Langford J. A Global Geometric Framework for Nonlinear Dimensionality Reduction.. Science 2000; 290 5500 2319-23. 10 Belkin M, Niyogi P. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering.. Adv Neural Inf Process Syst 2001; 14: 586-691. 11 Cheng Y. Mean Shift, Mode Seeking, and Clustering.. IEEE Trans Pattern Anal Mach Intell 1995; 17 (Suppl. 08) 790-9. 12 Frey B, Dueck D. Clustering by passing messages between data points.. Science 2007; 315: 972-6. 13 Komodakis N, Paragios N, Tziritas G. Clustering via LP-based Stabilities.. Adv Neural Inf Process Syst 2009; 21: 865-72. 14 Duda R, Hart P, Stork D. Pattern Classification.. Wiley-Interscience;; 2000 15 Freund Y, Schapire R. A Decision-Theoretic Generalization of On-line Learning and an Application to Boosting.. J Comput Syst Sci 1997; 55 (Suppl. 01) 119-39. 16 Cortes C, Vapnik V. Support-vector networks.. Mach Learn 1995; 20 (Suppl. 03) 273. 17 Breiman L. Random Forests.. Mach Learn 2001; 45 (Suppl. 01) 5-32. 18 Tsochantaridis I, Joachims T, Hofmann T, Altun Y, Singer Y. Large margin methods for structured and interdependent output variables.. J Mach Learn Res 2005 6(9). 19 Norris J. Markov Chains.. Cambridge University Press; 1998 20 Koller D, Friedman N. Probabilistic Graphical Models: Principles and Techniques.. MIT Press;; 2009 21 Haykin S. Neural networks: a comprehensive foundation.. Prentice Hall PTR; 1994 22 Bengio Y, Courville A, Vincent P. Representation Learning: A Review and New Perspectives.. IEEE Trans Pattern Anal Mach Intell 2013; 35 (Suppl. 08) 1798-828. 23 Freudenheim M. Fast Access to Records Helps Fight Epidemics.. Available online at http://www.nytimes.com/2012/06/19/health/states-using-electronic-medical-records-to-track-epidemics. 24 Sentinelles, the French Network for Electronic Surveillance on Communicable Disease. Available online at http://websenti.u707.jussieu.fr/sentiweb.Last acceded 7/28/2016. 25 Minitel.. Available online at. https://en.wikipedia.org/wiki/Minitel last acceded 7/28/2016 Last acceded 7/28/2016. 26 Ginsberg J, Mohebbi M, Patel R, Brammer L, Smolinski M, Brilliant L. Detecting influenza epidemics using search engine query data.. Nature 2009; 457: 1012-4. 27 Polgreen P, Chen Y, Pennock D, Nelson F. Using internet searches for influenza surveillance.. Clin Infect Dis 2008; 47 (Suppl. 11) 1443-8. 28 Butler D. When Google got flu wrong, US outbreak foxes a leading web-based method for tracking seasonal flu.. Nature 2013; Feb 14 494 7436 155-6. 29 White R, Tatonetti N, Shah N, Altman R, Horvitz E. Web-scale pharmacovigilance: listening to signals from the crowd.. J Am Med Inform Assoc 2013; 20 (Suppl. 03) 404-8. 30 US Food and Drug Administration.. Questions and Answers on FDA’s Adverse Event Reporting System (FAERS).. Available online at http://www.fda.gov/Drugs/GuidanceComplianceRegulatoryInformation/Surveillance/AdverseDrugEffects/default.htm Last acceded 7/28/2016. 31 Markoff J. Unreported Side Effects of Drugs Are Found Using Internet Search Data, Study Finds.. Available online at http://www.nytimes.com/2013/03/07/science/unreported-side-effects-of-drugs-found-using-internet-data-study-finds.html?_r=0 Last acceded 7/28/2016. 32 Cami A, Arnold A, Manzi S, Reis B. Predicting Adverse Drug Events Using Pharmacological Network Models.. Sci Transl Med 2011; 3 (Suppl. 14) 114-27. 33 Robicsek A, Beaumont J, Wright M, Thomson R Jr, Kaul K, Peterson LR. Electronic prediction rules for methicillin-resistant Staphylococcus aureus colonization.. Infect Control Hosp Epidemiol 2011; 32 (Suppl. 01) 9-19. 34 Roney K. The Rise of Big Data in Hospitals: Opportunities Behind the Phenomenon.. Available online at http://www.beckershospitalreview.com/healthcare-information-technology/the-rise-of-big-data-in-hospitals-opportunities-behind-the-phenomenon.html. Last acceded 7/28/2016. 35 LeCun Y, Bengio Y, Hinton G. Deep learning.. Nature 2015; 521: 436-44.