TY - GEN
T1 - The Evaluation of Medical Terms Complexity Using Lexical Features and Large Language Models
AU - Makhmutova, Liliya
AU - Perez-Tellez, Fernando
AU - Salton, Giancarlo Dondoni
AU - Ross, Robert J.
N1 - Publisher Copyright:
© 2025 Incoma Ltd. All rights reserved.
PY - 2025
Y1 - 2025
N2 - Understanding medical terminology is critical for effective patient-doctor communication, yet many patients struggle with complex jargon. This study compares Machine Learning (ML) models and Large Language Models (LLMs) in predicting medical term complexity as a means of improving doctor-patient communication. Using survey data from 252 participants rating 1,000 words along with various lexical features, we measured the accuracy of both model types. The results show that LLMs outperform traditional lexical-feature-based models, suggesting their potential to identify complex medical terms and lay the groundwork for personalised patient-doctor communication.
AB - Understanding medical terminology is critical for effective patient-doctor communication, yet many patients struggle with complex jargon. This study compares Machine Learning (ML) models and Large Language Models (LLMs) in predicting medical term complexity as a means of improving doctor-patient communication. Using survey data from 252 participants rating 1,000 words along with various lexical features, we measured the accuracy of both model types. The results show that LLMs outperform traditional lexical-feature-based models, suggesting their potential to identify complex medical terms and lay the groundwork for personalised patient-doctor communication.
UR - https://www.scopus.com/pages/publications/105034111765
U2 - 10.26615/978-954-452-098-4-079
DO - 10.26615/978-954-452-098-4-079
M3 - Conference contribution
AN - SCOPUS:105034111765
T3 - International Conference Recent Advances in Natural Language Processing, RANLP
SP - 682
EP - 693
BT - Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era, RANLP 2025
A2 - Angelova, Galia
A2 - Kunilovskaya, Maria
A2 - Escribe, Marie
A2 - Mitkov, Ruslan
PB - Incoma Ltd
T2 - 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era, RANLP 2025
Y2 - 8 September 2025 through 10 September 2025
ER -