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pubmed-literature-miner

pubmed-literature-miner

Biomedical literature mining using PubMed/MEDLINE for systematic review support

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill documentation

GitHub

name: pubmed-literature-miner description: Biomedical literature mining using PubMed/MEDLINE for systematic review support allowed-tools:

  • Bash
  • Read
  • Write
  • Edit
  • Glob
  • Grep
  • WebFetch metadata: specialization: scientific-discovery domain: science category: literature-knowledge phase: 6 graph: domains: [domain:scientific-discovery] specializations: [specialization:scientific-research-methods] skillAreas: [skill-area:data-analysis, skill-area:statistical-analysis, skill-area:deep-web-research] workflows: [workflow:experiment-design, workflow:peer-review-cycle] roles: [role:research-engineer, role:computational-scientist]

PubMed Literature Miner

Purpose

Provides biomedical literature mining capabilities using PubMed/MEDLINE for systematic review support and PICO framework analysis.

Capabilities

  • MeSH term-based search
  • PICO element extraction
  • Abstract screening automation
  • Citation deduplication
  • PRISMA flow diagram data generation
  • Full-text retrieval coordination

Usage Guidelines

  1. MeSH Terms: Use controlled vocabulary for precise searches
  2. PICO Framework: Structure searches around population, intervention, comparison, outcome
  3. Screening: Apply inclusion/exclusion criteria systematically
  4. PRISMA Compliance: Generate required flow diagram data

Tools/Libraries

  • Biopython
  • PyMed
  • NCBI E-utilities
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