István Vassányi
István Vassányi
University of Pannonia, Medical Informatics Research Development Centre
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Cited by
Cited by
Stress Detection Using Low Cost Heart Rate Sensors
IK Mario Salai, István Vassányi
Journal of Healthcare Engineering 2016, 13, 2016
A novel artificial intelligence method for weekly dietary menu planning
B Gaál, I Vassányi, G Kozmann
Methods of Information in Medicine 44 (05), 655-664, 2005
After-meal blood glucose level prediction using an absorption model for neural network training
RAH Karim, I Vassányi, I Kósa
Computers in biology and medicine 125, 103956, 2020
Efficient methods for acute stress detection using heart rate variability data from Ambient Assisted Living sensors
B Szakonyi, I Vassányi, E Schumacher, I Kósa
Biomedical engineering online 20, 1-19, 2021
Blood glucose level prediction for diabetics based on nutrition and insulin administration logs using personalized mathematical models
P Gyuk, I Vassányi, I Kósa
Journal of Healthcare Engineering 2019, 2019
An ontological modeling approach to cerebrovascular disease studies: the NEUROWEB case
G Colombo, D Merico, G Boncoraglio, F De Paoli, J Ellul, G Frisoni, ...
Journal of Biomedical Informatics 43 (4), 469-484, 2010
Regional differences in the utilisation of coronary angiography as initial investigation for the evaluation of patients with suspected coronary artery disease
I Kósa, A Nemes, É Belicza, F Király, I Vassányi
International journal of cardiology 168 (5), 5012-5015, 2013
Application of artificial intelligence for weekly dietary menu planning
B Gaál, I Vassányi, G Kozmann
Advanced Computational Intelligence Paradigms in Healthcare-2, 27-48, 2007
A fast, android based dietary logging application to support the life style change of cardio-metabolic patients
LK I. Kósa, I. Vassányi, M. Nemes, K.H. Kálmánné, B Pintér
Med-e-Tel Conference, 9-11 April 2014, Luxembourg 7, 553-556, 2014
Intelligent cardiac telemonitoring system
G Balazs, G Kozmann, I Vassányi
Proc. 31st annual meeting of Computers in Cardiology, 2004, Chichago …, 2004
Multi-level process mining methodology for exploring disease-specific care processes
Á Vathy-Fogarassy, I Vassányi, I Kósa
Journal of Biomedical Informatics 125, 103979, 2022
Correlation clustering of stable angina clinical care patterns for 506 thousand patients
Z Vassy, I Kosa, I Vassanyi
Journal of Healthcare Engineering 2017, 2017
Personalized dietary counseling system using harmony rules in tele-care
V Vassanyi, I Kósa, B Pintér, B Gaál
EJBI 10 (2), 17-22, 2014
A formal domain model for dietary and physical activity counseling
E Mák, B Pintér, B Gaál, I Vassányi, G Kozmann, I Németh
Knowledge-Based and Intelligent Information and Engineering Systems: 14th …, 2010
Co-creating Digital Services to Promote Active Lifestyle among Older Adults: The Turntable Project.
B Szakonyi, I Vassányi, A Mantur-Vierendeel, D Loi, G Correia, B Blazica
ICT4AWE, 213-220, 2021
Support of diabetes dietary management and self-management using mobile applications
B Szálka, I Kósa, I Vassányi, E Mák
Orvosi Hetilap 157 (29), 1147-1153, 2016
Diabetes Lifestyle Support with Improved Glycemia Prediction Algorithm
IV Peter Gyuk, Tamas Lorincz, Rebaz A. H. Karim
Proc. of the Seventh International Conference on eHealth, Telemedicine, and …, 2015
Stress ECG utilization in the evaluation of patients with chest pain: the real practice in Hungary with 10 million inhabitants
I Kósa, I Vassányi, A Nemes, J Hortobágyi, G Kozmann
International journal of cardiology 149 (1), 137-139, 2011
Clinical experiences with a mobile diet logging application
I Kósa, I Vassányi, B Pintér, M Nemes
European e-Cardiology & e-Health Congress, Bern, 2014
Implementing processor arrays on FPGAs
I Vassányi
FPL, 446-450, 1998
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