Metadata-Version: 2.4
Name: onconlp
Version: 0.1.1
Summary: Natural Language Processing Toolkit for Oncology
Home-page: https://github.com/onconlp/onconlp
Author: OncoNLP Development Team
Author-email: OncoNLP Development Team <team@onconlp.org>
License: MIT
Project-URL: Homepage, https://github.com/onconlp/onconlp
Project-URL: Documentation, https://onconlp.readthedocs.io/
Project-URL: Repository, https://github.com/onconlp/onconlp
Project-URL: Bug Reports, https://github.com/onconlp/onconlp/issues
Keywords: oncology,nlp,medical,text-processing,cancer-research
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: Topic :: Text Processing :: Linguistic
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.21.0
Requires-Dist: pandas>=1.3.0
Requires-Dist: regex>=2022.7.0
Dynamic: author
Dynamic: home-page
Dynamic: requires-python

# 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 0.1.1

**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.

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© 2025 OncoNLP Development Team
