Data Processing in E-Health System

Globa, Larysa; Ishchenko, Ivan; Zakharchuk, Andrii

doi:10.17265/1548-7709/2017.01.006

Cited by 1 publication

(1 citation statement)

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“…They make predictions of a quick revolution in healthcare with using of big data and are already conducting a regional coordination of the implementation of possible changes in the underdeveloped countries. Also, Ukrainian scientists such as L.Globa, I. Ishchenko, N. Kunieva, V.Kurdecha, A.Zakharchuk, work in this area with fuzzy logic, AI (artificial intelligence) and big data methods in health improvement [5,6]. They are investigating e-Health monitoring system development based on the IoT (Internet of things) technologies as software and hardware infrastructure of the activity with the usage of electronic information resources in the health sector and it ensures rapid access of medical professionals and patients to them.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Kopytko

Shevchuk

Yankovska

et al. 2018

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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.

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Section: Literature Reviewmentioning

confidence: 99%