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2020 – today
- 2023
[j2]Szabolcs Szekér
, György Fogarassy, Ágnes Vathy-Fogarassy:
A general text mining method to extract echocardiography measurement results from echocardiography documents. Artif. Intell. Medicine 143: 102584 (2023)- 2021
- [j1]Szabolcs Szekér, Ágnes Vathy-Fogarassy:
Optimized Weighted Nearest Neighbours Matching Algorithm for Control Group Selection. Algorithms 14(12): 356 (2021) - 2020
- [c5]Ágnes Vathy-Fogarassy, Szabolcs Szekér, Balázs Szolár, György Fogarassy:
The Efficiency of Different Distance Metrics for Keyword-Based Search in Medical Documents: A Short Case Study. dHealth 2020: 232-239
2010 – 2019
- 2019
- [c4]Szabolcs Szekér, György Fogarassy, Károly Machalik, Ágnes Vathy-Fogarassy:
Application of Named Entity Recognition Methods to Extract Information from Echocardiography Reports. dHealth 2019: 41-48 - [c3]Szabolcs Szekér, Ágnes Vathy-Fogarassy:
How Can the Similarity of the Case and Control Groups be Measured in Case-Control Studies? IWOBI 2019: 33-40 - 2018
- [c2]Szabolcs Szekér, Ágnes Vathy-Fogarassy:
The Effect of Latent Binary Variables on the Uncertainty of the Prediction of a Dichotomous Outcome Using Logistic Regression Based Propensity Score Matching. eHealth 2018: 1-8 - 2017
- [c1]Szabolcs Szekér, György Fogarassy, Ágnes Vathy-Fogarassy:
Comparison of Control Group Generating Methods. eHealth 2017: 311-318
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