Enhanced biomedical data extraction from scientific publications

Abstract

The field of scientific research is constantly expanding, with thousands of new articles being published every day. As online databases grow, so does the need for technologies capable of navigating and extracting key information from the stored publications. In the biomedical field, these articles lay the foundation for advancing our understanding of human health and improving medical practices. With such a vast amount of data available, it can be difficult for researchers to quickly and efficiently extract the information they need. The challenge is compounded by the fact that many existing tools are expensive, hard to learn and not compatible with all article types. To address this, a prototype was developed. This prototype leverages the PubMed API to provide researchers access to the information in numerous open access articles. Features include the tracking of keywords and high frequent words along with the possibility of extracting table content. The prototype is designed to streamline the process of extracting data from research articles, allowing researchers to more efficiently analyze and synthesize information from multiple sources.