Big Data, Analyzing and Modelling: New Ways of Health Improvement and Regional Aspects

Vasyl Kopytko, Lyubov Shevchuk, Larysa Yankovska and Zhanna Semchuk
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Vasyl Kopytko: Lviv Branch of Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan
Zhanna Semchuk: Lviv University of Business and Law

Traektoriâ Nauki = Path of Science, 2018, vol. 4, issue 8, 2017-2023

Abstract: The field of health improvement and life prolonging develops poorly, despite all the advances in medicine, chemistry and genetic engineering. Among the main problems is the difficulty of using new scientific achievements in other industries due to the rapid development of specialized knowledge, the problem of returning costs for the creation of really effective and the problem of aging population in developed countries. There are problems with data for this methods usage with privacy and security on different levels with regional peculiarities. Effective timing of work on health at the personal level can result as a result of increased time and productivity. But it's difficult for people to allocate their intellectual resources for that, so you have to connect artificial intelligence and machine learning. Big Data model with methods and analysis techniques on different levels for health improvement was suggested. The importance of the level of social networks and its regional aspects for the analysis of health improvement data was identified. Big data processing results implementation and levels of interaction with human with request for changes model was proposed. It consists from two levels of interaction with humans by level of quick reaction and discussion with smart personal assistance. Regional aspects from possible AI implementation in undeveloped countries were analyzed on example of personal level big data for health usage.

Keywords: big data; analyzing; modelling; health improving; regional aspects (search for similar items in EconPapers)
JEL-codes: O10 (search for similar items in EconPapers)
Date: 2018
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DOI: 10.22178/pos.37-2

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