Designing Doctor–Patient–Machine System of Systems for Personalized Medicine
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Abstract
This paper presents a description of doctor–patient–machine as system of systems to design an integrated system for personalized medicine, the “haute-couture” medicine. We use the hypernetwork model that enables analyses of dynamic aspects of the system integrating the specifications of relationships described in the system. Multiple types of relationships can coexist in the same representation.
Keywords
Relationality Description model Quantitative relationship Multiple viewpointsNotes
Acknowledgments
This research was supported by the JSPS KAKENHI Grant Numbers 24500307 (T.M.) and 15K00458 (T.M.).
References
- 1.Hinton, G.E.: Learning multiple layers of representation. Trends Cogn. Sci. 111, 428–434 (2007)CrossRefGoogle Scholar
- 2.Malin, J.L.: Envisioning watson as a rapid-learning system for oncology. J. Oncol. Pract. 9, 155–157 (2013)CrossRefGoogle Scholar
- 3.Chen, Y., Argentinis, E., Weber, G.: IBM Watson: how cognitive computing can be applied to big data challenges in life sciences research. Clin. Ther. 38, 688–701 (2016)CrossRefGoogle Scholar
- 4.Maeshiro, T.: Framework based on relationship to describe non-hierarchical, boundaryless and multi-perspective phenomena. SICE J. Control Measur. Syst. Integr. 11, 381–389 (2019)CrossRefGoogle Scholar
- 5.Clearfield, C., Tilcsik, A.: Meltdown: Why Our Systems Fail and What We Can Do About It. Atlantic Books (2018)Google Scholar
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