Year: 2024
Type: article
Abstract: \nThis 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.\n
Authors: Ouabiba Hamza, Sniba Farah
Institution: École Marocaine des Sciences de l'Ingénieur
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6921966498
FWCI:
Cites:
Cited by:
Related to: