Ing. Zuzana Pella, PhD.

	Email:	zuzana.pella@upjs.sk
	Homepage:	https://www.upjs.sk/LF/zamestnanec/zuzana.pella
	Faculty:	LF UPJŠ - Pavol Jozef Šafárik University in Košice Faculty of Medicine
	Department:	ULI - Department of Medical Informatics and Simulator Medicine
	Office:	MB3O20
	Phone:	+421 55 234 3551
	ORCID ID:	https://orcid.org/0000-0002-7874-2528

She obtained the degree of engineer in Business Informatics at the Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University in Košice. Her professional and research interests include data analytics, machine learning, and medical diagnostics. He currently works as a researcher at the Center for Simulator and Virtual Medicine of the Institute of Medical Informatics and Simulator Medicine at the Medical Faculty of Pavel Jozef Šafárik University in Košice.

Higher education and further qualification growth

First degree of higher education:

Technical University of Košice, 2014, Business Informatics

Second degree of higher education:

Technical University of Košice, 2016, Business Informatics

Third degree of higher education:

Technical University of Košice, 2022, Informatics

Research /art/ teacher profile

Display details

Selected publications
Analysis of Risk Factors in Patients with Subclinical Atherosclerosis and Increased Cardiovascular Risk Using Factor Analysis / Zuzana Pella ... [et al.] 2021. In: Diagnostics. - Bazilej (Švajčiarsko) : Multidisciplinary Digital Publishing Institute, 2011 Roč. 11, č. 7 (2021), s. [1-24] [online]. - ISSN 2075-4418 (online) [PELLA, Zuzana - PELLA, Dominik - PARALIČ, Ján - VANKO, Jakub Ivan - FEDAČKO, Ján]
Predictive and descriptive analysis for heart disease diagnosis / František Babič ... [et al.] - 2017. In: Annals of Computer Science and Information Systems: Federated Conference on Computer Science and Information Systems 2017. - Varšava : Polskie Towarzystwo Informatyczne, 2017 Vol. 11 (2017), p. 155-163. - ISBN 978-83-946253-7-5 [BABIČ, František - OLEJÁR, Jaroslav - PELLA, Zuzana - PARALIČ, Ján]
Selected projects
APVV-17-0550 (Determinants of increased cardiovascular risk and their prognostic significance analyzed by machine learning in the detection of high-risk individuals)

Additional information

Projects

APVV-17-0550 (Determinants of increased cardiovascular risk and their prognostic significance analyzed using machine learning in diagnosing high-risk individuals) APVV-16-0213 (Knowledge approaches to intelligent big data analysis) VEGA project no. 1/0493/16 (Methods and models for data stream analysis)