Steven R. Steinhubl

According to our database, Steven R. Steinhubl authored at least 21 papers between 2014 and 2024.

Collaborative distances:

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

2024

Long-term changes in wearable sensor data in people with and without Long Covid.

Jennifer M. Radin, Julia Moore Vogel, Felipe Delgado, Erin Coughlin, Matteo Gadaleta, Jay A. Pandit, Steven R. Steinhubl

npj Digit. Medicine, 2024

2023

Educating the healthcare workforce of the future: lessons learned from the development and implementation of a 'Wearables in Healthcare' course.

Matthew P. Ward, J. Scott Malloy, Chris Kannmacher, Steven R. Steinhubl

npj Digit. Medicine, 2023

Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias.

Matteo Gadaleta, Patrick Harrington, Eric Barnhill, Evangelos Hytopoulos, Mintu P. Turakhia, Steven R. Steinhubl, Giorgio Quer

npj Digit. Medicine, 2023

2022

Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands.

Giorgio Quer, Matteo Gadaleta, Jennifer M. Radin, Kristian G. Andersen, Katie Baca-Motes, Edward Ramos, Eric J. Topol, Steven R. Steinhubl

npj Digit. Medicine, 2022

2021

A Comprehensive Explanation Framework for Biomedical Time Series Classification.

Praharsh Ivaturi, Matteo Gadaleta, Amitabh C. Pandey, Michael J. Pazzani, Steven R. Steinhubl, Giorgio Quer

IEEE J. Biomed. Health Informatics, 2021

Wearable sensor derived decompensation index for continuous remote monitoring of COVID-19 diagnosed patients.

Dylan M. Richards, Mackenzie J. Tweardy, Steven R. Steinhubl, David W. Chestek, Terry L. Vanden Hoek, Karen A. Larimer, Stephan W. Wegerich

npj Digit. Medicine, 2021

Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms.

Matteo Gadaleta, Jennifer M. Radin, Katie Baca-Motes, Edward Ramos, Vik Kheterpal, Eric J. Topol, Steven R. Steinhubl, Giorgio Quer

npj Digit. Medicine, 2021

2020

Digitizing clinical trials.

Omer T. Inan, P. Tenaerts, Sheila A. Prindiville, H. R. Reynolds, D. S. Dizon, K. Cooper-Arnold, Mintu P. Turakhia, Mark J. Pletcher, Kenzie L. Preston, Harlan M. Krumholz, Benjamin M. Marlin, Kenneth D. Mandl, Predrag V. Klasnja, Bonnie Spring, Erin Iturriaga, R. Campo, P. Desvigne-Nickens, Y. Rosenberg, Steven R. Steinhubl, Robert M. Califf

npj Digit. Medicine, 2020

2019

Digital clinical trials: creating a vision for the future.

Steven R. Steinhubl, Dana L. Wolff-Hughes, Wendy Nilsen, Erin Iturriaga, Robert M. Califf

npj Digit. Medicine, 2019

On the Effectiveness of Deep Representation Learning: The Atrial Fibrillation Case.

Matteo Gadaleta, Michele Rossi, Eric J. Topol, Steven R. Steinhubl, Giorgio Quer

Computer, 2019

2018

Home Monitoring of Blood Pressure: Short-Term Changes During Serial Measurements for 56398 Subjects.

Giorgio Quer, Nima Nikzad, Angela Chieh, Alexis Normand, Matthieu Vegreville, Eric J. Topol, Steven R. Steinhubl

IEEE J. Biomed. Health Informatics, 2018

Digital medicine, on its way to being just plain medicine.

Steven R. Steinhubl, Eric J. Topol

npj Digit. Medicine, 2018

The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app.

Jennifer M. Radin, Steven R. Steinhubl, Andrew I. Su, Hansa Bhargava, Benjamin Greenberg, Brian M. Bot, Megan Doerr, Eric J. Topol

npj Digit. Medicine, 2018

Analytics Pipeline for Left Ventricle Segmentation and Volume Estimation on Cardiac MRI Using Deep Learning.

Mai H. Nguyen, Ehab Abdelmaguid, Jolene Huang, Sanjay Kenchareddy, Disha Singla, Laura Wilke, Marcus Bobar, Eric D. Carruth, Dylan Uys, Ilkay Altintas, Evan D. Muse, Giorgio Quer, Steven R. Steinhubl

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2016

Data Driven Modeling of Electronic Health Record Data to Detect Pre-Diagnostic Heart Failure Subtypes in Primary Care.

Kenney Ng, Walter F. Stewart, Christopher deFilippi, Steven R. Steinhubl

Proceedings of the Summit on Clinical Research Informatics, 2016

Characterizing Physicians Practice Phenotype from Unstructured Electronic Health Records.

Sanjoy Dey, Yajuan Wang, Roy J. Byrd, Kenney Ng, Steven R. Steinhubl, Christopher deFilippi, Walter F. Stewart

Proceedings of the AMIA 2016, 2016

2015

Early detection of heart failure with varying prediction windows by structured and unstructured data in electronic health records.

Yajuan Wang, Kenney Ng, Roy J. Byrd, Jianying Hu, Shahram Ebadollahi, Zahra Daar, Christopher deFilippi, Steven R. Steinhubl, Walter F. Stewart

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Early Detection of Heart Failure using Data Driven Modeling Approaches on Electronic Health Records: How far can one go without Domain Knowledge?

Kenney Ng, Yajuan Wang, Jianying Hu, Walter F. Stewart, Steven R. Steinhubl, Christopher deFilippi

Proceedings of the AMIA 2015, 2015

2014

PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records.

Kenney Ng, Amol Ghoting, Steven R. Steinhubl, Walter F. Stewart, Bradley A. Malin, Jimeng Sun

J. Biomed. Informatics, 2014

Limestone: High-throughput candidate phenotype generation via tensor factorization.

Joyce C. Ho, Joydeep Ghosh, Steven R. Steinhubl, Walter F. Stewart, Joshua C. Denny, Bradley A. Malin, Jimeng Sun

J. Biomed. Informatics, 2014

Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records.

Roy J. Byrd, Steven R. Steinhubl, Jimeng Sun, Shahram Ebadollahi, Walter F. Stewart

Int. J. Medical Informatics, 2014