4 citations · 7 across the 8 of their papers we have counts for
4 papers · 1 filter
Bridging the Clinical Expertise Gap: Development of a Web-Based Platform for Accessible Time Series Forecasting and Analysis
Aaron D. Mullen, Daniel R. Harris, Svetla Slavova +1
Time series forecasting has applications across domains and industries, especially in healthcare, but the technical expertise required to analyze data, build models, and interpret…
Implementation and Assessment of Machine Learning Models for Forecasting Suspected Opioid Overdoses in Emergency Medical Services Data
Aaron D. Mullen, Daniel R. Harris, Peter Rock +4
We present efforts in the fields of machine learning and time series forecasting to accurately predict counts of future suspected opioid overdoses recorded by Emergency Medical Ser…
Multi-Modal Machine Learning Framework for Automated Seizure Detection in Laboratory Rats
Aaron Mullen, Samuel E. Armstrong, Jasmine Perdeh +3
A multi-modal machine learning system uses multiple unique data sources and types to improve its performance. This article proposes a system that combines results from several type…
CLASSify: A Web-Based Tool for Machine Learning
Aaron D. Mullen, Samuel E. Armstrong, Jeff Talbert +1
Machine learning classification problems are widespread in bioinformatics, but the technical knowledge required to perform model training, optimization, and inference can prevent r…