Výsledky vyhledávání - "Michal Greguš ml."

A GRNN-based Approach towards Prediction from Small Datasets in Medical Application

Autor: Ivan Izonin, Roman Tkachenko, Pavlo Tkachenko, Khrystyna Zub, Michal Greguš ml.

Publikováno v: ANT/EDI40

A small data approach is an important area of research in the medical field. Many tasks in this area require the development of such direction due to the high cost of obtaining dataset or the inability to obtain sufficient observations for the analys

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a285a8acb400861155daea3a5f4ce882
https://doi.org/10.1016/j.procs.2021.03.033

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The Ensembles of Machine Learning Methods for Survival Predicting after Kidney Transplantation

Autor: Igor Yakovlev, Rostyslav Zhuk, Yaroslav Tolstyak, Nataliya Shakhovska, Valentyna Chopyak, Nataliia Melnykova, Michal Greguš ml.

Publikováno v: Applied Sciences, Vol 11, Iss 10380, p 10380 (2021)
Applied Sciences
Volume 11
Issue 21

Machine learning is used to develop predictive models to diagnose different diseases, particularly kidney transplant survival prediction. The paper used the collected dataset of patients’ individual parameters to predict the critical risk factors a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f140248ad3ff60cf1bdfcae2d5b20a86
https://www.mdpi.com/2076-3417/11/21/10380

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Correlation Analysis as a Thyroid Gland, Adrenal Glands, and Liver Relationship Tool for Correcting Hypothyroidism with Organic and Inorganic Iodine

Autor: Olha Ryabukha, Michal Greguš ml.

Publikováno v: EUSPN/ICTH

The search for dependencies that exist between a plurality of state parameters of the constituent elements of a biological system is an important task for its diagnosis. An integral indicator of the body’s status as a biosystem is the weight, the c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7a639ac51867e34e84c4d6c91b4e7ea5
https://doi.org/10.1016/j.procs.2019.11.041

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Big Data analysis in development of personalized medical system

Autor: Yuriy Syerov, Natalia Melnykova, Natalia Shakhovska, Iryna Shvorob, Michal Greguš ml., Solomia Fedushko

Publikováno v: EUSPN/ICTH

This paper considers the actual problem of Big Data analysis of medical information. Big Data is characterized by heterogeneity and constant growth requires the use of non-standard approaches to storage and processing of data. The analysis of persona

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5005d4c836e2507178de4a351acd8b34
https://doi.org/10.1016/j.procs.2019.09.461

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An Approach towards an Efficient Encryption-Decryption of Grayscale and Color Images

Autor: Nataliia Lotoshynska, Leonid Berezko, Michal Greguš ml., Ivan Izonin, Anatoliy Kovalchuk

Publikováno v: Procedia Computer Science. 155:630-635

Protecting images from unauthorized access and use is an important task in various areas. The problem of unauthorized use of images is solved at different levels: from the provisions on copyright, to methods of cryptography and steganography, digital

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::393c048d6e530c635c45aa1d85c44429
https://doi.org/10.1016/j.procs.2019.08.089

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Development of Mobile System for Medical Recommendations

Autor: Yuriy Syerov, Iryna Shvorob, Michal Greguš ml., Nataliya Shakhovska, Solomiia Fedushko

Publikováno v: Procedia Computer Science. 155:43-50

This article considers the current problem of investigation mobile application and development of mobile system for medical recommendations. The article develops a method for the selection of constituent elements for constructing a text template. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fe593e1cbbdde747019c7387572154b7
https://doi.org/10.1016/j.procs.2019.08.010

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Using Big Data for Formalization the Patient’s Personalized Data

Autor: Natalia Shakhovska, Michal Greguš ml., Volodymyr Melnykov, Nataliia Melnykova

Publikováno v: Procedia Computer Science. 155:624-629

The article covers the formalization of time-dependent and time-independent data of various origins of the investigated object, which are necessary for personalization of patient’s data in the process of seeking an individual approach to choosing a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b5a4d79696bd3c486ef58087422092e3
https://doi.org/10.1016/j.procs.2019.08.088

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Medical card data imputation and patient psychological and behavioral profile construction

Autor: Solomiia Fedushko, Michal Greguš ml., Taras Ustyianovych

Publikováno v: EUSPN/ICTH

Missing data is a typical problem for many hands-on tasks and researches, which has required human intervention and contributed to an increase in errors during algorithms application that demand for a large number of metrics. Solving this particular

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bb15cb6198304542815ed3b8de17b732
https://doi.org/10.1016/j.procs.2019.11.080

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