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
pip install onconlp
Quick Start
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 0.1.1
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.
© 2025 OncoNLP Development Team
1 maintainer
Metadata
1 maintainer
Release files for onconlp 0.1.1
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| File | Interpreter | ABI | Platform | Actions Reset |
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Release files / onconlp-0.1.1-py3-none-any.whl
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| Tags | Python 3 |
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