MED-Prompt: A novel prompt engineering framework for medicine prediction on free-text clinical notes
Existing AI-based medicine prediction systems require substantial training time, computing resources, and extensive labeled data, yet they often lack scalability. To bridge these gaps, this study introduces a novel MED-Prompt framework that employs pretrained models such as BERT, BioBERT, and Clinic...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-02-01
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Series: | Journal of King Saud University: Computer and Information Sciences |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157824000223 |