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personal data approved: 2023. IX. 15.
Personal data
name István Vassányi
name of institution
doctoral school
SE Doctoral School of Pathological Sciences (Academic staff member)
SE Doctoral School of University Semmelweis (Academic staff member)
the share of work in the different doctoral schools. PE Doctoral School of Information Science and Technology 100%
accreditation statement submitted to: University of Pannonia
Contact details
E-mail address vassanyialmos.vein.hu
phone number +36 88 624-939
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2000
discipline to which degree belongs computer sciences
institution granting the degree BME (to be translated)
Employment
1996 - University of Pannonia
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 3
number of students who fulfilled course requirements 0.5
students who obtained their degrees:
(50%) Hama Karim Rebaz Ahmed PhD 2021  DSIST-PE
Balázs Gaál PhD 2010  DSIST-PE

completed course requirement:
(50%) Brigitta Szálka (PhD) 2020/08  DSPS2-SE
  Thesis topic proposals
Research
research area health informatics, data modeling, data mining
research field in which current research is conducted computer sciences
Publications
2022

Vathy-Fogarassy Ágnes, Vassányi István, Kósa István: Multi-level process mining methodology for exploring disease-specific care processes, JOURNAL OF BIOMEDICAL INFORMATICS 125: p. 103979.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2021

Karim Rebaz A. H., Vassányi István, Kósa István: Improved Methods for Mid-Term Blood Glucose Level Prediction Using Dietary and Insulin Logs, MEDICINA-LITHUANIA 57: (7) p. 676.
type of document: Journal paper/Article
language: English
URL 
2021

Szakonyi Benedek, Vassányi István, Schumacher Edit, Kósa István: Efficient methods for acute stress detection using heart rate variability data from Ambient Assisted Living sensors, BIOMEDICAL ENGINEERING ONLINE 20: (1) 73
type of document: Journal paper/Article
language: English
URL 
2020

Karim Rebaz A.H., Vassányi István, Kósa István: After-meal blood glucose level prediction using an absorption model for neural network training, COMPUTERS IN BIOLOGY AND MEDICINE 125: 103956
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2019

Gyuk Péter, Vassányi István, Kósa István: Blood Glucose Level Prediction for Diabetics Based on Nutrition and Insulin Administration Logs Using Personalized Mathematical Models, JOURNAL OF HEALTHCARE ENGINEERING 2019: 8605206
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL 
2013

Kósa I, Nemes A, Belicza E, Király F, Vassányi I: Regional differences in the utilisation of coronary angiography as initial investigation for the evaluation of patients with suspected coronary artery disease, INTERNATIONAL JOURNAL OF CARDIOLOGY 168: (5) pp. 5012-5015.
type of document:
number of independent citations: 5
language: English
URL 
2010

Colombo G, Merico D, Boncoraglio G, De Paoli F, Ellul J, Frisoni G, Nagy Z, van der Lugt A, Vassanyi I, Antoniotti M: An ontological modeling approach to cerebrovascular disease studies: the NEUROWEB case., JOURNAL OF BIOMEDICAL INFORMATICS 43: (4) pp. 469-484.
type of document: Journal paper/Article
number of independent citations: 19
language: English
URL 
2006

S Palágyi, O Csirke, J Futó, J Hlavay, B Raucsik, A Szabó, I Vassányi: Mining data from Roman sandstone quarries, ACTA ARCHAEOLOGICA ACADEMIAE SCIENTIARUM HUNGARICAE 57: (4) pp. 395-422.
type of document: Journal paper/Article
language: English
URL 
2005

Gaál B, Vassányi I, Kozmann G: A Novel Artificial Intelligence Method for Weekly Dietary Menu Planning, METHODS OF INFORMATION IN MEDICINE 44: pp. 655-664.
type of document: Journal paper/Article
number of independent citations: 37
language: English
2000

Vassanyi I: Implementing fine grain processor arrays on field-programmable logic, INTEGRATED COMPUTER-AIDED ENGINEERING 7: (1) pp. 53-66.
type of document: Journal paper/Article
language: English
Number of independent citations to these publications:72 
Scientometric data
Saját közlemény- és idézőlista list of publications and citations
number of scientific publications that meet accreditation criteria:
190
number of scientific publications:
186
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
1 
art/engineering creative works:
0
number of independent citations to scientific publications and creative works:
265

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )