4 citations · 7 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
Toward Automated Clinical Transcriptions
Mitchell A. Klusty, W. Vaiden Logan, Samuel E. Armstrong +4
Administrative documentation is a major driver of rising healthcare costs and is linked to adverse outcomes, including physician burnout and diminished quality of care. This paper…
State-Based Automation for Time-Restricted Eating Adherence
Samuel E. Armstrong, Aaron D. Mullen, J. Matthew Thomas +4
Developing and enforcing study protocols is a foundational component of medical research. As study complexity for participant interactions increases, translating study protocols to…
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…