Analysis of Risk Factors in Patients with Subclinical Atherosclerosis and Increased Cardiovascular Risk Using Factor Analysis

Z Pella, D Pella, J Paralič, JI Vanko, J Fedačko - Diagnostics, 2021 - mdpi.com
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 …

[HTML][HTML] The possible role of machine learning in detection of increased cardiovascular risk patients–KSC MR Study (design)

D Pella, S Toth, J Paralic, J Gonsorcik… - Archives of Medical …, 2022 - ncbi.nlm.nih.gov
Results Obtained data will undergo machine learning protocols with the aim of developing
algorithms which will include all available parameters and accurately calculate the …

Web based application for processing cardiology medical records

M Kolárik, J Paralič, Z Pella… - 2022 IEEE 20th Jubilee …, 2022 - ieeexplore.ieee.org
The availability of data in medicine is growing every day. However, in order to use data in
medicine for data analytics, it first needs to be collected and pre-processed appropriately …

[PDF][PDF] Enriching medical text classification by Using Machine Learning

MB Satpute, VV Kimbahune - Journal of emerging technologies and …, 2020 - academia.edu
Health care sector has been noticing some of the most technological advances in the recent
years. This has led to the significant improvements in the various aspects of health care such …

Assessment of important cardiovascular risk factors using ML methods: a randomized controlled trial

Z Pella, O Lohaj, D Pella, J Paralič - 2022 - researchsquare.com
Background: High prevalence and mortality of cardiovascular diseases (CVD) are global
problems. Many countries focus their healthcare on secondary treatment, and primary …

Knowledge-Based Approaches to Intelligent Data Analysis

P Bednár, J Paralič, F Babič, M Sarnovský - World Symposium on Digital …, 2020 - Springer
One of the most fundamental phenomena heavily influencing the digital society is Big Data.
It is crucial not only to collect and analyze vast amounts of data but do it in an intelligent way …

[引用][C] Analýza významnosti faktorov vplývajúcich na závažnosť kardiovaskulárnych ochorení

Z Pella, J Paralič, O Lohaj, D Pella - Data a znalosti & WIKT 2019, Kosice, 2019