OncoPubMiner

OncoPubMiner extracts oncology-related information from biomedical literature to generate structured knowledge outputs for precision oncology.

Key Features:

• Text mining and data structure customization: Employs text mining techniques combined with customizable data structures to extract and organize information from publications.
• Comprehensive search and content coverage: Integrates PubMed abstracts and PubMed Central full-text articles to provide broad literature coverage.
• Keyword-to-structure transformation: Transforms extracted keywords into structured knowledge outputs suitable for knowledge-base construction.
• Project-centered and team-based data collection: Supports project-centered and team-based collection workflows for collaborative curation.
• Daily updates: Updates the indexed literature daily to incorporate newly published articles.

Scientific Applications:

• Knowledge-base construction for precision oncology: Facilitates development of structured oncology knowledge bases tailored to precision oncology.
• Literature synthesis for clinical decision-making and research: Aids synthesis of up-to-date literature to support clinical decision-making and oncology research.

Methodology:

Integrates text mining with customizable data structures to extract keywords and transform them into structured knowledge outputs from PubMed abstracts and PubMed Central full-text, with daily index updates.