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

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/med-prompt-a-novel-prompt-engineering-framework-for-medicine-prediction-on-free/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Awais Ahmed,Xiaoyang Zeng,Rui Xi,Mengshu Hou,Syed Attique Shah |
| Citations | 34 |
| DOI | 10.1016/j.jksuci.2024.101933 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.jksuci.2024.101933 |
| OpenAlex ID | https://openalex.org/W4391061229 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Awais Ahmed](https://scholariq.org/researchers/awais-ahmed/)
- [Xiaoyang Zeng](https://scholariq.org/researchers/xiaoyang-zeng/)

## Paper primary topic

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

## Paper topics

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.