MED-Prompt: A novel prompt engineering framework for medicine prediction on free-text clinical notes

Awais Ahmed, Xiaoyang Zeng, Rui Xi, Mengshu Hou*, Syed Attique Shah

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    4 Citations (SciVal)
    Original languageEnglish
    Article number101933
    JournalJournal of King Saud University - Computer and Information Sciences
    Volume36
    Issue number2
    DOIs
    Publication statusPublished (VoR) - Feb 2024

    Keywords

    • AI-enabled healthcare decisions
    • And natural language processing
    • Free-text clinical notes
    • Medical prompts
    • Pretrained models

    Fingerprint

    Dive into the research topics of 'MED-Prompt: A novel prompt engineering framework for medicine prediction on free-text clinical notes'. Together they form a unique fingerprint.

    Cite this