Machine Learning Technology for Diagnostics of Human Adaptive Capabilities
New high technologies are not created by national universities or research and production systems, but by the individual citizens of our country, they are the yesterday's graduates of the technical universities, whose qualities in the specialized technical learning is currently not reaching the highest level. Today, an average technical university graduate (bachelor, master or specialist), unfortunately, possesses no competence, practical skills, scientific erudition, or desire required to generate a new breakthrough technology. Such a person, in principle, is not able of working in the multitask mode, high tension and intensity environment. First of all, this is determined by the reduced adaption capabilities caused by the extremely insufficient physical activity since school. To influence the situation, the Bauman Moscow State Technical University developed a Multi-level Automated Information System for diagnostics of the human adaptation capabilities, i.e. the RUN.BMSTU.RU, which efficiency is proved by a series of diverse fundamental and clinical studies in analyzing the human health problems.
Authors
- Vladimir Savostyanov (ORCID: https://orcid.org/0000-0002-8710-1861)
- Aleksey Popov (ORCID: https://orcid.org/0000-0002-7458-9247)
- Alexander V. Kobelev
Institutions
- Bauman Moscow State Technical University (RU)
Publication Details
- Published
- 2025-04-08
- DOI
- https://doi.org/10.1109/reepe63962.2025.10971132
- Primary Topic
- Technology and Human Factors in Education and Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00