Výpis publikací

ANETTA, Krištof a Aleš HORÁK. Improving Machine Understanding of Czech Medical Text Using Self-Supervised and Rule-Based Data Augmentation. In Vicenç Torra, Yasuo Narukawa, Josep Domingo-Ferrer. Modeling Decisions for Artificial Intelligence, 22nd International Conference, MDAI 2025. Cham: Springer, 2025, s. 315-327, 386 s. ISBN 978-3-032-00890-9. Dostupné z: https://dx.doi.org/10.1007/978-3-032-00891-6_25.

ANETTA, Krištof. Annotating Health Records: Does Ground Truth Even Exist? In Proceedings of the Eighteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2024. Brno: Tribun EU, 2024, s. 65-74. ISSN 2336-4289.

ANETTA, Krištof a Aleš HORÁK. New Human-Annotated Dataset of Czech Health Records for Training Medical Concept Recognition Models. In Nöth, Elmar. Text, Speech, and Dialogue. Cham: Springer Nature Switzerland, 2024, s. 110-120. ISBN 978-3-031-70562-5. Dostupné z: https://dx.doi.org/10.1007/978-3-031-70563-2_9.

ANETTA, Krištof. Creating an Annotated Health Record Dataset in a Limited-Resource Environment. In Proceedings of the Seventeenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2023. Brno: Tribun EU, 2023, s. 157-164. ISSN 2336-4289.

ANETTA, Krištof. Understanding Health Records in West Slavic Languages: Available Resources, Case Study in Oncology. Online. In John Mantas, Parisis Gallos, Emmanouil Zoulias, Arie Hasman, Mowafa S. Househ, Martha Charalampidou, Andriana Magdalinou. Healthcare Transformation with Informatics and Artificial Intelligence. Amsterdam: IOS Press, 2023, s. 97-101. ISBN 978-1-64368-400-0. Dostupné z: https://dx.doi.org/10.3233/SHTI230433.

ANETTA, Krištof; Aleš HORÁK; Tomasz JADCZYK; Wojciech WOJAKOWSKI a Krystian WITA. Deep Learning Analysis of Polish Electronic Health Records for Diagnosis Prediction in Patients with Cardiovascular Diseases. Journal of Personalized Medicine. Basel: MDPI, 2022, roč. 12, č. 6, s. 1-17. ISSN 2075-4426. Dostupné z: https://dx.doi.org/10.3390/jpm12060869.

ANETTA, Krištof. Medical Knowledge Resources for Text-Mining of Health Records in Czech, Polish, and Slovak. In Aleš Horák, Pavel Rychlý, Adam Rambousek. Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022. Brno: Tribun EU, 2022, s. 161-169. ISBN 978-80-263-1752-4.

ANETTA, Krištof a Mahmut ARSLAN. Transferability of General Polish NER to Electronic Health Records. In Horák, Rychlý, Rambousek. Recent Advances in Slavonic Natural Language Processing (RASLAN 2021). Brno: Tribun EU, 2021, s. 151-159. ISBN 978-80-263-1670-1.

ANETTA, Krištof. Data Mining from Free-Text Health Records : State of the Art, New Polish Corpus. In Aleš Horák. Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020. Brno: Tribun EU, 2020, s. 13-22. ISBN 978-80-263-1600-8.