Jeffrey E. Olgin

According to our database, Jeffrey E. Olgin authored at least 13 papers between 1999 and 2023.

Collaborative distances:

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

2023

CathAI: fully automated coronary angiography interpretation and stenosis estimation.

Robert Avram, Jeffrey E. Olgin, Zeeshan Ahmed, Louis Verreault-Julien, Alvin Wan, Joshua Barrios, Sean Abreau, Derek Wan, Joseph E. Gonzalez, Jean-Claude Tardif, Derek Y. So, Krishan Soni, Geoffrey H. Tison

npj Digit. Medicine, 2023

2022

Atrial Fibrillation Detection and Atrial Fibrillation Burden Estimation via Wearables.

Li Zhu, Viswam Nathan, Jilong Kuang, Jacob Kim, Robert Avram, Jeffrey E. Olgin, Jun Alex Gao

IEEE J. Biomed. Health Informatics, 2022

2021

Machine learning prediction of blood alcohol concentration: a digital signature of smart-breathalyzer behavior.

Kirstin Aschbacher, Christian S. Hendershot, Geoffrey H. Tison, Judith A. Hahn, Robert Avram, Jeffrey E. Olgin, Gregory M. Marcus

npj Digit. Medicine, 2021

Towards Early Detection and Burden Estimation of Atrial Fibrillation in an Ambulatory Free-living Environment.

Hanbin Zhang, Li Zhu, Viswam Nathan, Jilong Kuang, Jacob Kim, Jun Alex Gao, Jeffrey E. Olgin

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy(HCM-VAr-Risk Model).

Moumita Bhattacharya, Dai-Yin Lu, Shibani M. Kudchadkar, Gabriela Villarreal Greenland, Prasanth Lingamaneni, Celia P. Corona-Villalobos, Yufan Guan, Joseph E. Marine, Jeffrey E. Olgin, Stefan L. Zimmerman, Theodore P. Abraham, Hagit Shatkay, Maria Roselle Abraham

CoRR, 2021

Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model.

Moumita Bhattacharya, Dai-Yin Lu, Ioannis Ventoulis, Gabriela V. Greenland, Hulya Yalcin, Yufan Guan, Joseph E. Marine, Jeffrey E. Olgin, Stefan L. Zimmerman, Theodore P. Abraham, M. Roselle Abraham, Hagit Shatkay

CoRR, 2021

CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks.

Robert Avram, Jeffrey E. Olgin, Alvin Wan, Zeeshan Ahmed, Louis Verreault-Julien, Sean Abreau, Derek Wan, Joseph E. Gonzalez, Derek Y. So, Krishan Soni, Geoffrey H. Tison

CoRR, 2021

2020

EventDTW: An Improved Dynamic Time Warping Algorithm for Aligning Biomedical Signals of Nonuniform Sampling Frequencies.

Yihang Jiang, Yuankai Qi, Will Ke Wang, Brinnae Bent, Robert Avram, Jeffrey E. Olgin, Jessilyn Dunn

Sensors, 2020

2019

Real-world heart rate norms in the Health eHeart study.

Robert Avram, Geoffrey H. Tison, Kirstin Aschbacher, Peter Kuhar, Eric Vittinghoff, Michael Butzner, Ryan Runge, Nancy Wu, Mark J. Pletcher, Gregory M. Marcus, Jeffrey E. Olgin

npj Digit. Medicine, 2019

2018

Identifying heart failure using EMR-based algorithms.

Geoffrey H. Tison, Alanna M. Chamberlain, Mark J. Pletcher, Shannon M. Dunlay, Susan A. Weston, Jill M. Killian, Jeffrey E. Olgin, Véronique L. Roger

Int. J. Medical Informatics, 2018

Using Multitask Learning to Improve 12-Lead Electrocardiogram Classification.

J. Weston Hughes, Taylor Sittler, Anthony D. Joseph, Jeffrey E. Olgin, Joseph E. Gonzalez, Geoffrey H. Tison

CoRR, 2018

DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction.

Brandon Ballinger, Johnson Hsieh, Avesh Singh, Nimit Sohoni, Jack Wang, Geoffrey H. Tison, Gregory M. Marcus, Jose M. Sanchez, Carol Maguire, Jeffrey E. Olgin, Mark J. Pletcher

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

1999

A high-temporal resolution algorithm for quantifying organization during atrial fibrillation.

Haris J. Sih, Douglas P. Zipes, Edward J. Berbari, Jeffrey E. Olgin

IEEE Trans. Biomed. Eng., 1999