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2020 – today
- 2024
[j16]Jennifer M. Radin
, Julia Moore Vogel, Felipe Delgado, Erin Coughlin, Matteo Gadaleta, Jay A. Pandit, Steven R. Steinhubl:
Long-term changes in wearable sensor data in people with and without Long Covid. npj Digit. Medicine 7(1) (2024)- 2023
- [j15]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) - [j14]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) - 2022
- [j13]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) - 2021
- [j12]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) - [j11]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) - [j10]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): 2398-2408 (2021) - 2020
- [j9]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:
Digitizing clinical trials. npj Digit. Medicine 3 (2020)
2010 – 2019
- 2019
- [j8]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): 18-29 (2019) - [j7]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) - 2018
- [j6]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) - [j5]Steven R. Steinhubl, Eric J. Topol:
Digital medicine, on its way to being just plain medicine. npj Digit. Medicine 1 (2018) - [j4]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): 1691-1698 (2018) - [c5]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: 305-306 - 2016
- [c4]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 - [c3]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 - 2015
- [c2]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 - [c1]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: 2530-2533 - 2014
- [j3]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): 983-992 (2014) - [j2]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: 160-170 (2014) - [j1]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: 199-211 (2014)
Coauthor Index
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