Erik Reinertsen

According to our database, Erik Reinertsen authored at least 6 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

The Patient is not a Moving Document: A World Model Training Paradigm for Longitudinal EHR.

Irsyad Adam, Zekai Chen, David Laprade, Shaun Porwal, David Laub, Erik Reinertsen, Arda Pekis, Kevin Brown

CoRR, January, 2026

2024

Benchmarking changepoint detection algorithms on cardiac time series.

Ayse S. Cakmak, Erik Reinertsen, Shamim Nemati, Gari D. Clifford

CoRR, 2024

2022

Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling.

Nathaniel Diamant, Erik Reinertsen, Steven Song, Aaron D. Aguirre, Collin M. Stultz, Puneet Batra

PLoS Comput. Biol., 2022

2021

Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling.

Nathaniel Diamant, Erik Reinertsen, Steven Song, Aaron D. Aguirre, Collin M. Stultz, Puneet Batra

CoRR, 2021

2020

Physiology as a Lingua Franca for Clinical Machine Learning.

Gopal P. Sarma, Erik Reinertsen

Patterns, 2020

2018

Personalized heart failure severity estimates using passive smartphone data.

Ayse S. Cakmak, Erik Reinertsen, Herman A. Taylor, Amit J. Shah, Gari D. Clifford

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018