Code for: Trends in Diagnostic Terminology and Consensus Adoption in Fracture-Related Infection Literature: A Contextual Text Mining Analysis
收藏DataCite Commons2026-04-15 更新2026-05-04 收录
下载链接:
https://data.mendeley.com/datasets/bc5vsrfrv6
下载链接
链接失效反馈官方服务:
资源简介:
This repository contains the code used for the analysis in: “Trends in Diagnostic Terminology and Consensus Adoption in Fracture-Related Infection Literature: A Contextual Text Mining Analysis.” It is a context-aware LLM pipeline for counting fracture-related infection (FRI) terminology in full-text PDFs. It was designed to reduce misleading term matches where a keyword appears in text but is not actually being used to diagnose, classify, or describe infection.
The development version of the code is available on GitHub: https://github.com/nickpiccaro/FRI-LLM-Based-Text-Mining.
This archived version corresponds to the version used for manuscript submission.
提供机构:
Mendeley Data
创建时间:
2026-04-15



