Steven R. Steinhubl

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 15

Top Topics

Clinical Trials

Machine Learning

Top Venues

npj Digit. Medicine

IEEE J. Biomed. Health Informatics

J. Biomed. Informatics

Publications

Matteo Gadaleta, Patrick Harrington, Eric Barnhill, Evangelos Hytopoulos, Mintu P. Turakhia, Steven R. Steinhubl, Giorgio Quer
Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias. npj Digit. Medicine 6 (2023)
Matthew P. Ward, J. Scott Malloy, Chris Kannmacher, Steven R. Steinhubl
Educating the healthcare workforce of the future: lessons learned from the development and implementation of a 'Wearables in Healthcare' course. npj Digit. Medicine 6 (2023)
Giorgio Quer, Matteo Gadaleta, Jennifer M. Radin, Kristian G. Andersen, Katie Baca-Motes, Edward Ramos, Eric J. Topol, Steven R. Steinhubl
Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands. npj Digit. Medicine 5 (2022)
Matteo Gadaleta, Jennifer M. Radin, Katie Baca-Motes, Edward Ramos, Vik Kheterpal, Eric J. Topol, Steven R. Steinhubl, Giorgio Quer
Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms. npj Digit. Medicine 4 (2021)
Praharsh Ivaturi, Matteo Gadaleta, Amitabh C. Pandey, Michael J. Pazzani, Steven R. Steinhubl, Giorgio Quer
A Comprehensive Explanation Framework for Biomedical Time Series Classification. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Dylan M. Richards, Mackenzie J. Tweardy, Steven R. Steinhubl, David W. Chestek, Terry L. Vanden Hoek, Karen A. Larimer, Stephan W. Wegerich
Wearable sensor derived decompensation index for continuous remote monitoring of COVID-19 diagnosed patients. npj Digit. Medicine 4 (2021)
Omer T. Inan, P. Tenaerts, S. A. Prindiville, H. R. Reynolds, D. S. Dizon, K. Cooper-Arnold, M. Turakhia, M. J. Pletcher, K. L. Preston, Harlan M. Krumholz, Benjamin M. Marlin, Kenneth D. Mandl, P. Klasnja, B. Spring, E. Iturriaga, R. Campo, P. Desvigne-Nickens, Y. Rosenberg, Steven R. Steinhubl, R. M. Califf
Digitizing clinical trials. npj Digit. Medicine 3 (2020)
Steven R. Steinhubl, Dana L. Wolff-Hughes, Wendy Nilsen, Erin Iturriaga, Robert M. Califf
Digital clinical trials: creating a vision for the future. npj Digit. Medicine 2 (2019)
Matteo Gadaleta, Michele Rossi, Eric J. Topol, Steven R. Steinhubl, Giorgio Quer
On the Effectiveness of Deep Representation Learning: The Atrial Fibrillation Case. Computer 52 (11) (2019)
Steven R. Steinhubl, Eric J. Topol
Digital medicine, on its way to being just plain medicine. npj Digit. Medicine 1 (2018)
Jennifer M. Radin, Steven R. Steinhubl, Andrew I. Su, Hansa Bhargava, Benjamin Greenberg, Brian M. Bot, Megan Doerr, Eric J. Topol
The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app. npj Digit. Medicine 1 (2018)
Giorgio Quer, Nima Nikzad, Angela Chieh, Alexis Normand, Matthieu Vegreville, Eric J. Topol, Steven R. Steinhubl
Home Monitoring of Blood Pressure: Short-Term Changes During Serial Measurements for 56398 Subjects. IEEE J. Biomed. Health Informatics 22 (5) (2018)
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
Analytics Pipeline for Left Ventricle Segmentation and Volume Estimation on Cardiac MRI Using Deep Learning. eScience (2018)
Sanjoy Dey, Yajuan Wang, Roy J. Byrd, Kenney Ng, Steven R. Steinhubl, Christopher deFilippi, Walter F. Stewart
Characterizing Physicians Practice Phenotype from Unstructured Electronic Health Records. AMIA (2016)
Kenney Ng, Walter F. Stewart, Christopher deFilippi, Steven R. Steinhubl
Data Driven Modeling of Electronic Health Record Data to Detect Pre-Diagnostic Heart Failure Subtypes in Primary Care. CRI (2016)
Kenney Ng, Yajuan Wang, Jianying Hu, Walter F. Stewart, Steven R. Steinhubl, Christopher deFilippi
Early Detection of Heart Failure using Data Driven Modeling Approaches on Electronic Health Records: How far can one go without Domain Knowledge? AMIA (2015)
Yajuan Wang, Kenney Ng, Roy J. Byrd, Jianying Hu, Shahram Ebadollahi, Zahra Daar, Christopher deFilippi, Steven R. Steinhubl, Walter F. Stewart
Early detection of heart failure with varying prediction windows by structured and unstructured data in electronic health records. EMBC (2015)
Joyce C. Ho, Joydeep Ghosh, Steven R. Steinhubl, Walter F. Stewart, Joshua C. Denny, Bradley A. Malin, Jimeng Sun
Limestone: High-throughput candidate phenotype generation via tensor factorization. J. Biomed. Informatics 52 (2014)
Kenney Ng, Amol Ghoting, Steven R. Steinhubl, Walter F. Stewart, Bradley A. Malin, Jimeng Sun
PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records. J. Biomed. Informatics 48 (2014)
Roy J. Byrd, Steven R. Steinhubl, Jimeng Sun, Shahram Ebadollahi, Walter F. Stewart
Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records. Int. J. Medical Informatics 83 (12) (2014)