Multi-Modal Machine Learning Framework for Automated Seizure Detection in Laboratory Rats
A multi-modal machine learning system uses multiple unique data sources and types to improve its performance. We propose a system that combines results from sev... Read more.
Rapid Actionable Data for Opioid Response in KY
In 2020, Kentucky had the third-largest drug overdose fatality rate in the United States, and 81% of those deaths involved opioids. The purpose of this project ... Read more.
CLASSify- A Web-based Tool for Machine Learning
Clinicians often produce large amounts of data, from patient metrics to drug component analysis. Classical statistical analysis can provide a peek into data int... Read more.
Time Series Forecasting
Time series forecasting is the process of analyzing historical data in order to draw conclusions and predict future outcomes. For this project, we explore, comp... Read more.