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Code for: Trends in Diagnostic Terminology and Consensus Adoption in Fracture-Related Infection Literature: A Contextual Text Mining Analysis

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NIAID Data Ecosystem2026-05-10 收录
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https://data.mendeley.com/datasets/bc5vsrfrv6
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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.
创建时间:
2026-04-15
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