# OncoNLP
A comprehensive natural language processing toolkit for oncology and cancer research.
## Project Overview
OncoNLP is an advanced NLP framework specifically designed for processing and analyzing oncological texts, medical reports, and cancer-related documentation. It provides specialized tools for extracting meaningful insights from clinical narratives and research literature.
> ⚠️ **Development Notice**: This toolkit is currently in active development. While core functionality is being implemented, some features may be experimental or subject to change.
## Key Features
- Medical text preprocessing and normalization
- Cancer-specific information extraction
- Clinical report analysis and structuring
- Oncological knowledge graph construction
- Treatment outcome prediction
- Biomarker identification from text
## Technology Stack
- Python 3.8+
- Advanced NLP libraries (spaCy, NLTK, transformers)
- Medical text processing frameworks
- Machine learning models for healthcare
- Deep learning architectures for text analysis
## Installation
```bash
pip install onconlp
```
## Quick Start
```python
import onconlp
processor = onconlp.OncologyProcessor()
result = processor.analyze("Patient diagnosed with stage II lung adenocarcinoma...")
print(result.cancer_type, result.staging, result.biomarkers)
```
## Development Status
🚧 **Currently Under Development** - Version 0.1.0
**Note:** This project is actively being developed. Features and APIs may change as we continue to improve the toolkit. We welcome feedback and contributions from the community.
---
© 2024 OncoNLP Development Team
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