Metadata and Analysis of Clinical Information Extraction Publications Using Large Language Models

This dataset contains all the data collected on all the papers analyzed in our publication, entitled "Harnessing Large Language Models for Clinical Information Extraction: A Systematic Literature Review", which is a systematic literature review of 85 publications on Clinical Information Extraction using LLMs, from 2019 to 2023. It includes metadata on every paper and explains our selection process, and how we got to the 85 papers. It also includes detailed information on each of the included papers.

Dados e Recursos

Informação Adicional

Campo Valor
Autor Tiago Rodrigues, Carla Teixeira Lopes
Última Atualização julho 11, 2024, 13:53 (UTC)
Data de criação julho 11, 2024, 13:24 (UTC)
Citation Rodrigues, T., & Teixeira Lopes, C. (2024). Metadata and Analysis of Clinical Information Extraction Publications Using Large Language Models [Data set]. INESC TEC. https://doi.org/10.25747/CD12-0636
DOI https://doi.org/10.25747/CD12-0636
Data Collection Method Database Querying (Google Scholar, SCOPUS, Web of Science, ACM Digital Library) and Citation Tracking
Formato .CSV and XLSX
Idioma EN
Size 641 kb
Temporal Coverage 2019-2023