Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)

Methodological Problems of Biomedical Data Assessment

Authors
Alla G. Naymushina, Vladimir V. Latiy, Elina M. Bakieva
Corresponding Author
Alla G. Naymushina
Available Online 10 November 2020.
DOI
10.2991/aisr.k.201029.009How to use a DOI?
Keywords
human adaptive potential, anthropometric data, ontology, system analysis
Abstract

The results of a literature content analysis on methods for assessing biomedical data for constructing a model of human adaptive potential are presented. The software tools for collecting anthropometric data for children and youth from 0 to 19 years are determined. For adults, male and female, there are no universal means of assessing anthropometric data. In medical practice, the SCORE system is used to predict mortality from cardiovascular diseases, which does not take into account all health factors. According to many years of research, it was concluded that the success of the adaptation of the human body depends on two parameters: the functional state of the cardiovascular system (dynamic component) and the harmony of the ratio of anthropometric data (statics component). An ontology of human adaptive potential is proposed.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)
Series
Advances in Intelligent Systems Research
Publication Date
10 November 2020
ISBN
10.2991/aisr.k.201029.009
ISSN
1951-6851
DOI
10.2991/aisr.k.201029.009How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Alla G. Naymushina
AU  - Vladimir V. Latiy
AU  - Elina M. Bakieva
PY  - 2020
DA  - 2020/11/10
TI  - Methodological Problems of Biomedical Data Assessment
BT  - Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)
PB  - Atlantis Press
SP  - 45
EP  - 47
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.201029.009
DO  - 10.2991/aisr.k.201029.009
ID  - Naymushina2020
ER  -