OpenMed Documentation¶
OpenMed bundles curated biomedical models, advanced extraction utilities, and one-call orchestration so you can ship clinical NLP workflows without wrangling infrastructure. This documentation keeps the most copied snippets and workflows close at hand—each section is Markdown-first, searchable, and optimized for quick scanning or copy/paste into notebooks.
What you get¶
- Curated registries – discoverable Hugging Face models with metadata (domain, size, device guidance).
- One-line orchestration –
analyze_textwraps validation, inference, and formatting for CLI, scripts, or services. - Advanced NER post-processing – score-aware grouping, PHI-friendly filtering, and CSV/JSON/HTML export helpers.
- Composable config –
OpenMedConfigreads YAML/ENV so deployments stay reproducible across laptops and clusters.
Copy-friendly defaults
Every page in this site exposes code fences with copy buttons and callouts so teammates (or AI copilots) can lift the exact snippet they need. Use the search shortcut (/ or cmd/ctrl + K) to jump straight to an entity, CLI command, or API surface.
First look¶
from openmed import analyze_text
result = analyze_text(
"Patient started on imatinib for chronic myeloid leukemia.",
model_name="disease_detection_superclinical",
confidence_threshold=0.55,
)
for entity in result.entities:
print(entity.label, entity.text, entity.confidence)
The rest of the docs expand on this snippet—head to Quick Start for the end-to-end setup, then explore the guides for configuration, zero-shot GLiNER workflows, and advanced processing helpers.
How these docs are structured¶
- Quick Start – fastest path to a working environment plus a copy/paste script.
- Feature Map – see how every capability maps back to the code.
- Core guides:
- Analyze Text Helper for single-call inference.
- ModelLoader & Pipelines for long-running jobs.
- Model Registry to pick the right checkpoint.
- Advanced NER & Output Formatting to polish spans.
- Configuration & Validation to keep deployments reproducible.
- Zero-shot Toolkit when you need GLiNER workflows.
- CLI & Automation, Examples, and Testing & QA for day-to-day operations.
- Contributing & Releases – how we cut releases, publish docs, and keep CI green.
Need something that is not here yet? Drop an issue on GitHub and mention the missing recipe. Every addition is just a Markdown file away.