A lot of studies are related to brain activity. Researchers are trying to structure all available information with a purpose to analyse and predict different diseases, their mechanism. One of the methods that can be easily used in the medical sphere is topological modelling. It allows displaying any diagnosis or process in the form of a graph. This form is convenient and considered to analyse the causal-consequence links between graph nodes representing symptoms, different states of the body, etc. This article focusses at the process of building a stroke topological model that gathers knowledge of how stroke can hurt certain brain functional regions, and what consequences can cause the damage to these regions. The model is formed in 2 steps, increasing its level of detailing, i.e. by specifying brain regions.
|Journal||Journal of Physics: Conference Series|
|Publication status||Published - 25 Nov 2020|
|Event||2nd International Scientific Conference on Applied Physics, Information Technologies and Engineering, APITECH 2020 - Krasnoyarsk, Russian Federation|
Duration: 25 Sep 2020 → 4 Oct 2020
Field of Science
- 1.3 Physical sciences
- 1.1. Scientific article indexed in Web of Science and/or Scopus database