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...

Full description

Bibliographic Details
Main Authors: Awais Ahmed, Xiaoyang Zeng, Rui Xi, Mengshu Hou, Syed Attique Shah
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157824000223