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Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter

Authors :
Sadeghi, Afshin
Lehmann, Jens
Source :
ECML SOGOOD 2019
Publication Year :
2019

Abstract

Informing professionals about the latest research results in their field is a particularly important task in the field of health care, since any development in this field directly improves the health status of the patients. Meanwhile, social media is an infrastructure that allows public instant sharing of information, thus it has recently become popular in medical applications. In this study, we apply Multi Distance Knowledge Graph Embeddings (MDE) to link physicians and surgeons to the latest medical breakthroughs that are shared as the research results on Twitter. Our study shows that using this method physicians can be informed about the new findings in their field given that they have an account dedicated to their profession.<br />Comment: AI for Good, Data Science for Social Good, Machine learning for Social Good, Twitter Data, Knowledge Graph Embeddings, Medical Research

Details

Database :
arXiv
Journal :
ECML SOGOOD 2019
Publication Type :
Report
Accession number :
edsarx.1908.02571
Document Type :
Working Paper