Peer-reviewed papers, preprints, and conference publications.
Abstract Time series forecasting has applications across domains and industries, especially in healthcare, but the technical expertise required to analyze data, build models, and interpret results can be a barrier…
arXiv preprint arXiv:2406.18718 (2024)
AMIA Summits on Translational Science Proceedings (2024)
Abstract OBJECTIVE: The objective of this study was to predict extubation readiness in preterm infants using machine learning analysis of bedside pulse oximeter and ventilator data. STUDY DESIGN: This is…
Nash JB, Bumgardner C, Roggenkamp S, Friskney D, Armstrong S
Flanagan M, Dugger B, Gutman D, Pearce T, Cooper L, Kovacs G, Fardo D, Forest S, Kukull W, Crary J, Manthey D, Biber S, Vizcarra J, Gearing M, Sargurupremraj M,…
Abstract INTRODUCTION/AIMS: Muscle ultrasound has high utility in clinical practice and research; however, the main challenges are the training and time required for manual analysis to achieve objective quantification of…
Abstract 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 language tasks. The authors…
Abstract BACKGROUND: Adherence to self-administered biologic therapies is important to induce remission and prevent adverse clinical outcomes in Inflammatory bowel disease (IBD). This study aimed to use administrative claims data…
Abstract Soft tissue tumors (STTs) pose diagnostic and therapeutic challenges due to their rarity, complexity, and morphological overlap. Accurate differentiation between benign and malignant STTs is important to set treatment…