| Event Title | Machine Learning Seminar Series: Use Cases for Machine Learning - From predicting out-of-hospital deaths in claims data to identifying novel side effects of drugs using social media |
| Location | Zoom |
| Sponsor | NC TraCS (Translational and Clinical Sciences) Institute: NIH CTSA at UNC-CH |
| Date/Time | 04/20/2021 1:00 PM - 2:00 PM |
In this session of the NC TraCS Machine Learning seminar series Nabarun Dasgupta, MPH, PhD, will provide an overview of Machine Learning vs Natural Language Processing. Dasgupta will discuss three examples of how he has utilized Machine Learning in research – from using an algorithm to predict out-of-hospital deaths in claims data to using Machine Learning to conduct systematic review searches.
Presenter
Nabarun Dasgupta, MPH, PhD
Innovation Fellow, Gillings School of Global Public Health
Senior Scientist, Injury Prevention Research Center
This is part 2 of the 4-part series on Machine Learning presented by the Comparative Effectiveness Research team at NC TraCS. This series will discuss Machine Learning concepts, applications and tools.
