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| Data sheet of PhD student |
 Print preview| Publications |
2023
 from data base, 2023. VI. 30. |
Szekér Szabolcs, Fogarassy György, Vathy-Fogarassy Ágnes: A general text mining method to extract echocardiography measurement results from echocardiography documents, ARTIFICIAL INTELLIGENCE IN MEDICINE 143: 102584
type of document: Journal paper/Article
language: English
URL |
2021
from data base, 2023. VI. 30. |
Szekér Szabolcs, Vathy-Fogarassy Ágnes: Optimized Weighted Nearest Neighbours Matching Algorithm for Control Group Selection, ALGORITHMS 14: (12) p. 356.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL |
2020
from data base, 2023. VI. 30. |
Szekér Szabolcs, Vathy-Fogarassy Ágnes: Weighted nearest neighbours-based control group selection method for observational studies, PLOS ONE 15: (7) e0236531
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL |
2020
from data base, 2023. VI. 30. |
Vathy-Fogarassy Ágnes, Szekér Szabolcs, Szolár Balázs, Fogarassy György: The Efficiency of Different Distance Metrics for Keyword-Based Search in Medical Documents, STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS 271: pp. 232-239.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL |
2019
from data base, 2023. VI. 30. |
Szekér Szabolcs, Vathy-Fogarassy Agnes: How Can the Similarity of the Case and Control Groups be Measured in Case-Control Studies?, In: Levente, Kovács; Carlos, M. Travieso-González (szerk.) Proceedings of IEEE International Work Conference on Bioinspired Intelligence IWOBI 2019, IEEE (2019) pp. 33-40.
type of document: Part of book/Proceedings Paper
language: English
URL |
2019
from data base, 2023. VI. 30. |
Szekér S, Fogarassy G, Machalik K, Vathy-Fogarassy Á: Application of Named Entity Recognition Methods to Extract Information from Echocardiography Reports., STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS 260: pp. 41-48.
type of document: Journal paper/Article
language: English
URL |
2019
from data base, 2023. VI. 30. |
Szabolcs Szekér, Ágnes Vathy-Fogarassy: Application of Text Mining Methods on Unstructured Hungarian Echocardiogram Documents, In: Vassányi, István (szerk.) Proceedings of the Pannonian Conference on Advances in Information Technology (PCIT'2019), University of Pannonia, Faculty of Information Technology (2019) pp. 187-193.
type of document: Part of book/Proceedings Paper
language: English
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2019
from data base, 2023. VI. 30. |
Szekér Szabolcs, Dr. Fogarassyné dr. Vathy Ágnes: Application of Text Mining Methods on Unstructured Hungarian Echocardiogram Documents,
type of document:
language: English
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2018
from data base, 2023. VI. 30. |
Szabolcs Szekér, Ágnes Vathy-Fogarassy: Measuring the similarity of two cohorts in the n-dimensional space, In: The 11th Conference of PhD Students in Computer Science, (2018) pp. 151-154.
type of document: Conference paper/Előadás vagy poszter cikke
language: English
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2017
from data base, 2023. VI. 30. |
Szekér Szabolcs, Ágnes Vathy-Fogarassy: Novel k Nearest Neighbour-based Control Group Selection Methods, In: Fülöp, Attila; Iványi, Péter (szerk.) 13th Miklós Iványi International PhD & DLA Symposium - Abstract Book : Architectural, Engineering and Information Sciences, Pollack Press (2017) p. 124.
type of document:
language: English
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| | Number of independent citations to these publications: | 8 |
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