H. Prokosch and . Ganslandt, Perspectives for Medical Informatics, Methods of Information in Medicine, vol.48, issue.1, pp.38-44, 2009.
DOI : 10.3414/ME9132

B. Peter, L. J. Jensen, S. Jensen, and . Brunak, Mining electronic health records: towards better research applications and clinical care, Nature Reviews Genetics, vol.13, issue.6, pp.395-405, 2012.

A. Belle, R. Thiagarajan, F. Sm-soroushmehr, . Navidi, A. Daniel et al., Big Data Analytics in Healthcare, BioMed Research International, vol.500, issue.5-6, 2015.
DOI : 10.1007/s10916-011-9710-5

URL : http://doi.org/10.1155/2015/370194

K. Kawamoto, C. A. Houlihan, A. Balas, F. David, and . Lobach, Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success, BMJ, vol.330, issue.7494, p.330765, 2005.
DOI : 10.1136/bmj.38398.500764.8F

. Oanh-kieu-nguyen, N. Anil, C. Makam, S. Clark, B. Zhang et al., Predicting all-cause readmissions using electronic health record data from the entire hospitalization: Model development and comparison, Journal of hospital medicine, 2016.

V. Stanislav, S. Kasl, and . Cobb, Health behavior, illness behavior and sick role behavior: I. health and illness behavior, Archives of Environmental Health: An International Journal, vol.12, issue.2, pp.246-266, 1966.

A. Holzinger, Trends in interactive knowledge discovery for personalized medicine: Cognitive science meets machine learning, IEEE Intelligent Informatics Bulletin, vol.15, pp.6-14, 2014.

D. Delen, G. Walker, and A. Kadam, Predicting breast cancer survivability: a comparison of three data mining methods, Artificial Intelligence in Medicine, vol.34, issue.2, pp.113-127, 2005.
DOI : 10.1016/j.artmed.2004.07.002

A. Darcy, . Davis, V. Nitesh, . Chawla, A. Nicholas et al., Time to care: a collaborative engine for practical disease prediction, Data Mining and Knowledge Discovery, vol.20, issue.3, pp.388-415, 2010.

K. Marek, D. Jennings, S. Lasch, A. Siderowf, C. Tanner et al., The Parkinson Progression Marker Initiative (PPMI), Progress in Neurobiology, vol.95, issue.4, pp.629-635, 2011.
DOI : 10.1016/j.pneurobio.2011.09.005

A. Patricia, . Wilkosz, J. Howard, B. Seltman, E. A. Devlin et al., Trajectories of cognitive decline in alzheimer's disease, International Psychogeriatrics, vol.22, issue.02, pp.281-290, 2010.

A. Boeck-jensen, L. Pope, . Moseley, I. Tudor, S. Oprea et al., Temporal disease trajectories condensed from population-wide registry data covering 6.2 million patients, Nature communications, vol.5, 2014.

S. Diane, . Lauderdale, E. Sylvia, . Furner, P. Toni et al., Epidemiologic uses of medicare data, Epidemiologic Reviews, vol.15, issue.2, pp.319-327, 1993.

B. Janet, T. Mitchell, . Bubolz, E. John, C. L. Paul et al., Using medicare claims for outcomes research, Medical care, issue.7, pp.32-38, 1994.

D. Mozaffarian, J. Emelia, A. S. Benjamin, . Go, K. Donna et al., Heart Disease and Stroke Statistics???2016 Update, Heart disease and stroke statistics2016 update, pp.38-360, 2016.
DOI : 10.1161/CIR.0000000000000350

URL : http://circ.ahajournals.org/content/circulationaha/133/4/e38.full.pdf

R. Austin, . Benson, F. David, J. Gleich, and . Leskovec, Higher-order organization of complex networks, Science, vol.353, issue.6295, pp.163-166, 2016.

J. John, S. Mcmurray, and . Stewart, Epidemiology, aetiology, and prognosis of heart failure, Heart, vol.83, issue.5, pp.596-602, 2000.

J. Mark, A. S. Sarnak, A. C. Levey, J. Schoolwerth, B. Coresh et al., Kidney disease as a risk factor for development of cardiovascular disease, Hypertension, issue.5, pp.421050-1065, 2003.

D. Lloyd-jones, R. J. Adams, T. M. Brown, M. Carnethon, S. Dai et al., Heart disease and stroke statis- tics?2010 update, Circulation, issue.7, pp.121-167, 2010.

E. Picano, L. Gargani, and M. Gheorghiade, Why, when, and how to assess pulmonary congestion in heart failure: pathophysiological, clinical, and methodological implications, Heart Failure Reviews, vol.69, issue.Suppl, pp.63-72, 2010.
DOI : 10.1016/0002-9343(91)80016-F

M. Laszlo, A. D. Hoesel, P. A. Niederbichler, and . Ward, Complementrelated molecular events in sepsis leading to heart failure, XXI International Complement Workshop, pp.95-102, 2006.

Y. Cao, Y. Hu, H. Wu, and . Wang, A pilot survey of the main causes of chronic heart failure in patients treated in primary hospitals in china, Zhonghua nei ke za zhi, vol.44, issue.7, pp.487-489, 2005.

F. Edward, D. Bland, and . Jones, Rheumatic fever and rheumatic heart disease, Circulation, vol.4, issue.6, pp.836-843, 1951.

D. Levy, G. Martin, . Larson, S. Ramachandran, . Vasan et al., The progression from hypertension to congestive heart failure, Jama, issue.20, pp.2751557-1562, 1996.