Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter
Sadeghi, Afshin, Lehmann, Jens
–arXiv.org Artificial Intelligence
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. Keywords: Knowledge Graph Embeddings · Social Media · Social Good · Health care · Twitter · Machine Learning 1 Introduction Twitter is a projection of the interactions of a society connected to the internet, which is in constant evolution.
arXiv.org Artificial Intelligence
Jul-24-2019
- Country:
- Europe > Germany (0.29)
- North America > United States
- New York (0.28)
- Genre:
- Research Report > New Finding (1.00)
- Industry:
- Information Technology > Services (1.00)
- Health & Medicine > Consumer Health (0.86)
- Technology: