数据提取
计算机科学
数据科学
公共卫生
情报检索
数据挖掘
梅德林
管理科学
医学
工程类
政治学
护理部
法学
作者
Gunn Elisabeth Vist,Trine Husøy,Michael Guy Diemar,Hubert Dirven,Erwin Roggen,Maria Kalyva
标识
DOI:10.1016/j.cmpb.2025.108962
摘要
ExtractPDF tool has a novel pipeline architecture to automate extraction of information from unstructured format types, such as PDF files. ExtractPDF tool assisted in expediting the task of data extraction stage and reducing human related resources as well as errors. The tool's performance and reliability were found to be very good with metrics of averagely 0.89 for precision, 0.92 for recall, 0.86 for accuracy and 0.91for F1-score.
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