E3S Web Conf.
Volume 351, 202210th International Conference on Innovation, Modern Applied Science & Environmental Studies (ICIES’2022)
|Number of page(s)||5|
|Published online||24 May 2022|
- A. R. Feinstein, “The pre-therapeutic classification of co-morbidity in chronic disease,” J. Chronic Dis., vol. 23, no. 7, pp. 455–468 [Google Scholar]
- M. Rijken et al., How to improve care for people with multimorbidity in Europe? European Observatory on Health Systems and Policies, . Available on: http://www.ncbi.nlm.nih.gov/books/NBK464548. Last accessed 12 aout 2021 [Google Scholar]
- R. Pastorino et al., “Benefits and challenges of Big Data in healthcare: an overview of the European initiatives”, Eur. J. Public Health, vol. 29, no Supplement_3, p. 23–27 [Google Scholar]
- G. A. Orenstein et L. Lewis, “Eriksons Stages of Psychosocial Development”, in StatPearls, Treasure Island (FL): StatPearls Publishing, . [Google Scholar]
- R. Bonita, R. Beaglehole, T. Kjellström, et W. H. Organization, Basic epidemiology. World Health Organization, . [Google Scholar]
- H. A. Droogleever Fortuyn et al., “Severe fatigue in narcolepsy with cataplexy”, J. Sleep Res., vol. 21, no 2, p. 163–169 [Google Scholar]
- F. S. Roque et al., “Using Electronic Patient Records to Discover Disease Correlations and Stratify Patient Cohorts”, PLoS Comput. Biol., vol.7, no 8, p. e1002141, [aug 2011] [Google Scholar]
- A.-L. Barabasi, N. Gulbahce, et J. Loscalzo, “Network medicine: a network-based approach to human disease”, Nat. Rev. Genet., vol. 12, no 1, p. 56–68 [Google Scholar]
- A. Aguado, F. Moratalla-Navarro, F. Lopez-Simarro, et V. Moreno, “MorbiNet: multi-morbidity networks in adult general population. Analysis of type 2 diabetes mellitus comorbidity, Sci. Rep., vol. 10, no 1, p. 2416 [Google Scholar]
- C. Madlock-Brown et R. B. Reynolds, “Identifying obesity-related multimorbidity combinations in the United States”, Clin. Obes., vol. 9, no 6, p. e12336 [Google Scholar]
- M. van den Akker, F. Buntinx, J. F. Metsemakers, S. Roos, et J. A. Knottnerus, “Multimorbidity in general practice: prevalence, incidence, and determinants of co-occurring chronic and recurrent diseases”, J. Clin. Epidemiol., vol. 51, no 5, p. 367–375 [Google Scholar]
- L. S. Lim, E. Lamoureux, S. M. Saw, W. T. Tay, P. Mitchell, et T. Y. Wong, “Are myopic eyes less likely to have diabetic retinopathy?”, Ophthalmology, vol. 117, no 3, p. 524–530 [Google Scholar]
- M. Girvan et M. E. J. Newman, “Community structure in social and biological net-works”, Proc. Natl. Acad. Sci., vol. 99, no 12, p. 7821–7826 [Google Scholar]
- U. N. Raghavan, R. Albert, et S. Kumara, “Near linear time algorithm to detect community structures in large-scale networks”, Phys. Rev. E, vol. 76, no 3, p. 036106 [Google Scholar]
- V. D. Blondel, J.-L. Guillaume, R. Lambiotte, et E. Lefebvre, “Fast unfolding of communities in large networks”, J. Stat. Mech. Theory Exp., vol. 2008, no 10, p. P10008 [CrossRef] [Google Scholar]
- P. Pons et M. Latapy, “Computing Communities in Large Networks Using Random Walks”, in Computer and Information Sciences - ISCIS 2005, Berlin, Heidelberg, , p. 284–293. [Google Scholar]
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