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AWS CORD-19 Search: A Neural Search Engine and Knowledge Graph for COVID-19 Literature

With the global outbreak of Coronavirus, people, especially the biomedical researchers, have a lot covid-19 related questions. At the same time, there is a lot of research focusing on coronavirus, and the publications expands at a rapid rate.

The CORD-19 dataset is a collection of over 100,000 covid19 scientific articles that is available to research community to fight against coronavirus.

It aims to connect the machine learning community with biomedical domain experts and policy makers to identify effective treatments and management policies for COVID-19. The goal is according to this initiative, and to provide a scalable solution to access COVID-19 information easily using advanced NLP techniques.

For example, people may have questions like: “What are the recommended medications for COVID-19?” In order to retrieve answers and relevant information for these questions, we require a search engine with a strong biomedical understanding of these natural language questions.

NLP aspects in medical records- from visit texts to medical concepts matrix

In this talk, we present our ongoing work utilizing more than 60 billion historical medical visits to create an automated layer for...