In the future, life and death decisions will depend on having more data and more organized knowledge. These data will overcome traditional scale and dimensions, thus we will need to think about new kind of strategies which involve Information and Communication Technologies. Collect, organize and compute every aspect will be crucial for survival of patients and for healthcare management. Following a bio-inspired approach to ICT, we can relate Big Data and the data intensive computing issues in the future vision of a smart healthcare. The multidimensional approach to comorbidity and the introduction of a social dimension of analysis allow to find out correlations and causality relations between diseases and patients also considering the connectedness and social contagion processes. In this way, we obtain an evolution from data to multiagents through the introduction of personalized medicine in a multilayer architecture.
|Title of host publication||Intelligent Agents in Data-intensive Computing|
|Editors||Joanna Kołodziej, Luìs Correia, José Manuel Molina|
|Publisher||Springer International Publishing AG|
|Publication status||Published - 2016|
|Name||Studies in Big Data|
Di Stefano, A., La Corte, A., Lió, P., & Scatá, M. (2016). Bio-Inspired ICT for Big Data Management in Healthcare. In J. Kołodziej, L. Correia, & J. M. Molina (Eds.), Intelligent Agents in Data-intensive Computing (Vol. 14, pp. 1-26). (Studies in Big Data). Springer International Publishing AG.