YuxingLu613/Prompt-NER-Chinese

Apply prompt learning in Chinese NER tasks

27
/ 100
Experimental

This project helps medical researchers and clinical data analysts extract specific medical entities, like diseases, treatments, or symptoms, from Chinese Electronic Health Records (EHR) text. It takes raw Chinese clinical notes as input and outputs the identified medical terms, categorized by entity type. This is useful for anyone working with unstructured Chinese medical text who needs to quickly pinpoint key information.

No commits in the last 6 months.

Use this if you need to accurately identify and categorize medical entities from Chinese clinical text, such as patient notes or discharge summaries.

Not ideal if you are working with non-medical Chinese text or require entity recognition for languages other than Chinese.

clinical-text-analysis medical-informatics electronic-health-records natural-language-processing-healthcare chinese-medical-data
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 6 / 25

How are scores calculated?

Stars

13

Forks

1

Language

License

Apache-2.0

Last pushed

Mar 24, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/prompt-engineering/YuxingLu613/Prompt-NER-Chinese"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.