Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Ján Paralič"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 4, Pp 1266-1281 (2023)
Machine learning (ML) has been used in different ways in the fight against COVID-19 disease. ML models have been developed, e.g., for diagnostic or prognostic purposes and using various modalities of data (e.g., textual, visual, or structured). Due t
Externí odkaz:
https://doaj.org/article/d55cedc0322543ac965ece897a10cde6
Publikováno v:
Diagnostics, Vol 14, Iss 9, p 917 (2024)
The focus of this study, and the subject of this article, resides in the conceptually funded usability evaluation of an application of descriptive models to a specific dataset obtained from the East Slovak Institute of Heart and Vascular Diseases tar
Externí odkaz:
https://doaj.org/article/6cbc3b891bbf4f17ba6c1620349245b2
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
Emotions are an integral part of human life. We know many different definitions of emotions. They are most often defined as a complex pattern of reactions, and they could be confused with feelings or moods. They are the way in which individuals cope
Externí odkaz:
https://doaj.org/article/ca5bb0b5befa42a8840e98bee1375031
Autor:
Daniel CHOVANEC, Ján PARALIČ
Publikováno v:
Acta Electrotechnica et Informatica, Vol 21, Iss 2, Pp 3-6 (2021)
This paper discusses the necessity of fake news detection and how selected features can show differences between trustworthy and fake news. To demonstrate this concept, we first identified a set of features, that we believe can distinguish between f
Externí odkaz:
https://doaj.org/article/a6cf9dd362a04f6097410393ac996561
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1805 (2023)
Deep neural network models have produced significant results in solving various challenging tasks, including medical diagnostics. To increase the credibility of these black-box models in the eyes of doctors, it is necessary to focus on their explaina
Externí odkaz:
https://doaj.org/article/4ce6ac8459e64f7a9568a4c069886ac1
Publikováno v:
Acta Electrotechnica et Informatica, Vol 18, Iss 4, Pp 58-63 (2019)
The aim of this article is to present how we processed and analysed data from a logistics company using various Business Intelligence tools. The theoretical part of the article is therefore focused on defining Business Intelligence concepts and data
Externí odkaz:
https://doaj.org/article/8197e04ed0944bb58b19f870e0c7f9a8
Autor:
Michal VADOVSKÝ, Ján PARALIČ
Publikováno v:
Acta Electrotechnica et Informatica, Vol 18, Iss 3, Pp 35-40 (2018)
The medical procedures for disease diagnostics are significantly demanding and time-consuming. Data mining methods can accelerate this process and assist doctors in making decisions in complex situations. In case of Parkinson´s disease (PD), the d
Externí odkaz:
https://doaj.org/article/281f6ea92f4f4b7ba8dd5e562e325260
Autor:
Šefket Šabanović, Majnarić Trtica Ljiljana, František Babič, Michal Vadovský, Ján Paralič, Aleksandar Včev, Andreas Holzinger
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 18, Iss 1, Pp 1-18 (2018)
Abstract Background There is potential for medical research on the basis of routine data used from general practice electronic health records (GP eHRs), even in areas where there is no common GP research platform. We present a case study on menopausa
Externí odkaz:
https://doaj.org/article/d7433255ccea4ec78b8694e6e4df636e
Autor:
Sanja Bekić, František Babič, Viera Pavlišková, Ján Paralič, Thomas Wittlinger, Ljiljana Trtica Majnarić
Publikováno v:
Healthcare, Vol 9, Iss 7, p 891 (2021)
(1) Objectives: We aimed to identify clusters of physical frailty and cognitive impairment in a population of older primary care patients and correlate these clusters with their associated comorbidities. (2) Methods: We used a latent class analysis (
Externí odkaz:
https://doaj.org/article/a70bb7cf380f442185c4730077a13f6f
Publikováno v:
Diagnostics, Vol 11, Iss 7, p 1284 (2021)
Today, there are many parameters used for cardiovascular risk quantification and to identify many of the high-risk subjects; however, many of them do not reflect reality. Modern personalized medicine is the key to fast and effective diagnostics and t
Externí odkaz:
https://doaj.org/article/fe492a23da92496cb144a307a937f487