liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology
Dataset Card for Lay Recognition and Understanding of Common Medical Terminology Data from surveys of 252 participants assessing their recognition and understanding of 1,000 medical terms. Citation @inproceedings{makhmutova-etal-2025-evaluation, title = "The Evaluation of Medical Terms Complexity Using Lexical Features and Large Language Models", author = "Makhmutova, Liliya and Salton, Giancarlo Dondoni and Perez-Tellez, Fernando and Ross, Robert J."… See the full description on the dataset page: https://huggingface.co/datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology.
Dataset Card for Lay Recognition and Understanding of Common Medical Terminology
Data from surveys of 252 participants assessing their recognition and understanding of 1,000 medical terms.
Dataset Description
- Curated by: Liliya Makhmutova, Fernando Perez-Tellez, and Robert Ross
- Funded by: Science Foundation Ireland under Grant number 18/CRT/6183 and the ADAPT SFI Research Centre for AI-Driven Digital Content Technology under Grant No. 13/RC/2106/P2
- Language(s) (NLP): English
- License: CC-BY-NC-4.0
Citation
@inproceedings{makhmutova-etal-2025-evaluation,
title = "The Evaluation of Medical Terms Complexity Using Lexical Features and Large Language Models",
author = "Makhmutova, Liliya and Salton, Giancarlo Dondoni and Perez-Tellez, Fernando and Ross, Robert J.",
editor = "Angelova, Galia and Kunilovskaya, Maria and Escribe, Marie and Mitkov, Ruslan",
booktitle = "Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era",
month = sep,
year = "2025",
address = "Varna, Bulgaria",
publisher = "INCOMA Ltd., Shoumen, Bulgaria",
url = "https://aclanthology.org/2025.ranlp-1.79/",
pages = "682--693",
}or
@article{MAKHMUTOVA2025326,
title = {Lay recognition and understanding of common medical terminology: personal profile analysis},
journal = {Procedia Computer Science},
volume = {272},
pages = {326-334},
year = {2025},
note = {16th International Conference on Emerging Ubiquitous Systems and Pervasive Networks / 15th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare},
issn = {1877-0509},
doi = {https://doi.org/10.1016/j.procs.2025.10.212},
url = {https://www.sciencedirect.com/science/article/pii/S1877050925035598},
author = {Liliya Makhmutova and Fernando Perez-Tellez and Giancarlo Salton and Robert J. Ross},
keywords = {Health Literacy, Medical Terms, Medical Jargon}
}