ehrmonize is package to abstract medical concepts using large language models.
Project description
EHRmonize
Welcome to ehrmonize, a Python package to abstract medical concepts using large language models.
Citation
TBD
Rationale
Corpus generation from EHRs provides the
data that needs categorization, across different domains and tasks, which is then fed to ehrmonize to employs LLMs to categorize the entries into predefined classes.
Current supported tasks
| Type | Task |
|---|---|
| Free-text | get_generic_name |
| get_generic_route | |
| Multiclass | classify_drug |
| Binary | one_hot_drug_classification |
| Custom | custom |
Current supported models / engines / APIs
| API | model_id |
|---|---|
| OpenAI | gpt-3.5-turbo |
| gpt-4 | |
| gpt-4o | |
| AWS Bedrock | anthropic.claude-instant-v1 |
| meta.llama3-70b-instruct-v1:0 | |
| mistral.mixtral-8x7b-instruct-v0:1 |
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