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Szekér Szabolcs
Title
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Cited by
Year
Weighted nearest neighbours-based control group selection method for observational studies
S Szekér, Á Vathy-Fogarassy
Plos one 15 (7), e0236531, 2020
132020
A general text mining method to extract echocardiography measurement results from echocardiography documents
S Szekér, G Fogarassy, Á Vathy-Fogarassy
Artificial Intelligence in Medicine 143, 102584, 2023
32023
Comparison of Control Group Generating Methods.
S Szekér, G Fogarassy, Á Vathy-Fogarassy
eHealth, 311-318, 2017
32017
The Efficiency of Different Distance Metrics for Keyword-Based Search in Medical Documents: A Short Case Study.
Á Vathy-Fogarassy, S Szekér, B Szolár, G Fogarassy
dHealth, 232-239, 2020
22020
How Can the Similarity of the Case and Control Groups be Measured in Case-Control Studies?
S Szekér, A Vathy-Fogarassy
2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI …, 2019
22019
Application of Named Entity Recognition Methods to Extract Information from Echocardiography Reports.
S Szekér, G Fogarassy, K Machalik, Á Vathy-Fogarassy
dHealth, 41-48, 2019
22019
Kontrollcsoport-generálási lehetőségek retrospektív egészségügyi vizsgálatokhoz
S Szekér, Á Fogarassyné Vathy
22016
Optimized Weighted Nearest Neighbours Matching Algorithm for Control Group Selection
S Szekér, Á Vathy-Fogarassy
Algorithms 14 (12), 356, 2021
12021
Application of Text Mining Methods on Unstructured Hungarian Echocardiogram Documents
S Szekér, Á Vathy-Fogarassy
Pannonian Conference on Advances in Information Technology (PCIT 2019), 187, 2019
2019
Measuring the similarity of two cohorts in the n-dimensional space
S Szekér, Á Vathy-Fogarassy
THE 11TH CONFERENCE OF PHD STUDENTS IN COMPUTER SCIENCE, 151, 2018
2018
The Effect of Latent Binary Variables on the Uncertainty of the Prediction of a Dichotomous Outcome Using Logistic Regression Based Propensity Score Matching.
S Szekér, Á Vathy-Fogarassy
eHealth, 1-8, 2018
2018
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Articles 1–11