Biomed News – a biomedical literature expertise sharing system based on machine learning and expert curation
DOI:
https://doi.org/10.2218/eor.2024.9663Abstract
Approximately 30,000 biomedical research abstracts are published each week on PubMed. This provides an enormous resource for new information that needs to be retrieved by individuals who desire access to it – researchers, industry, funders, policy makers, clinicians, patients, and the public. This enormous amount of information is conventionally retrieved using searches or tables of contents. However, these methods can be overwhelming, broad and irrelevant. Biomed News is a free platform that provides a ranked abstract list on a weekly basis. Topic experts select abstracts relevant to their area of expertise. These selections are used by supervised machine learning to identify relevant papers in subsequent weekly issues. This reduces the amount of time required to identify new abstracts. Biomed News also provides an opportunity for selectors to share their weekly topic issues with other interested parties. Biomed News currently has around 90 experts from countries all over the world who are at different stages of their career. We aim for Biomed News to be a user-friendly platform covering all areas of biomedical research that allows new abstracts to be discovered rapidly, shared with interested parties, recorded permanently and available openly. Currently, Biomed News has many reports specific to many different diseases and contributes to the dissemination and discovery of new knowledge that can be accessed openly and providing recognition of selectors.
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Copyright (c) 2024 Gavin P. McStay, Thomas Kritchel
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.