| Issue |
ITM Web Conf.
Volume 69, 2024
International Conference on Mobility, Artificial Intelligence and Health (MAIH2024)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 3 | |
| Section | Mobility | |
| DOI | https://doi.org/10.1051/itmconf/20246903001 | |
| Published online | 13 December 2024 | |
Disease prediction using NLP techniques
LAMIGEP/EMSI-MARRAKECH
* Corresponding author: hamza.ouabiba@gmail.com
This paper explores the application of the T5 (Text-To-Text Transfer Transformer) model Originating from the groundbreaking “Attention Is All You Need” concept, fine-tuned on a medical dataset to predict diseases and symptoms from unstructured medical reports. By leveraging Natural Language Processing (NLP), the system offers automated analysis, enabling quicker and more accurate diagnoses based on symptoms provided by users. The fine- tuning process involved training the T5 model to adapt to the specific language and context of medical texts. The model’s performance is evaluated based on its ability to detect and predict medical conditions from user inputs.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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