Loading…
Welcome to Analytics and Data Summit 2020.
  • Sessions appear in the color of their primary track and can be filtered using Products on the right
  • Use the Search bar for more flexibility
See this link for hints on how to search the schedule
Back To Schedule
Wednesday, February 26 • 3:25pm - 3:50pm
Graph-powered Automated Healthcare Services

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
The primary value that Graph data model brings to Healthcare services is to aggregate information from various heterogeneous data sources (e.g., Electronic Medical Records from Medical Data Centers or publicly-available Disease-Symptoms relations) whereas Machine Learning provides the ability to process such huge volume of medical data and learn meaningful underlying patterns or latent relationships. In this talk, we will explain how Oracle Labs and Oracle HS-GBU employ a combination of graph and machine learning techniques to develop efficient Healthcare Services. These healthcare services enable multiple crucial medical objectives like (a) matching Rare Patients with Clinical Trials (considerably important for Cancer treatments), as well as (b) searching for Similar Patients from a Medical Database based on previous medical records of the patients.

Speakers
avatar for Sungpack Hong

Sungpack Hong

Research Director, Oracle
Research Director at Oracle Labs.Leading projects regarding large-scale graph and data analysis -- platforms and applications


Wednesday February 26, 2020 3:25pm - 3:50pm PST
Bldg 23- Rm 1740 .