4 citations · 7 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
Local Large Language Models for Complex Structured Medical Tasks
V. K. Cody Bumgardner, Aaron Mullen, Sam Armstrong +2
This paper introduces an approach that combines the language reasoning capabilities of large language models (LLMs) with the benefits of local training to tackle complex, domain-sp…
SmartState: An Automated Research Protocol Adherence System
Samuel E. Armstrong, Mitchell A. Klusty, Aaron D. Mullen +2
Developing and enforcing study protocols is crucial in medical research, especially as interactions with participants become more intricate. Traditional rules-based systems struggl…