onconlp 0.1.1

Natural Language Processing Toolkit for Oncology

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.

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© 2025 OncoNLP Development Team