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 001; Shahram Ebadollahi; Walter F. Stewart (Int. J. Medical 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 001 (J. Biomed. Informatics, 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 001 (J. Biomed. Informatics, 2014)

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 (AMIA, 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 (EMBC, 2015)

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 (AMIA, 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 (CRI, 2016)

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; et al. (eScience, 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)

Digital medicine, on its way to being just plain medicine. - Steven R. Steinhubl; Eric J. Topol (npj Digit. Medicine, 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)

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)

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)

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; et al. (npj Digit. Medicine, 2020)

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)

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)

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)

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)

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)

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)

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)

Smartphone conjunctiva photography for malaria risk stratification in asymptomatic school age children. - Shaun G. Hong; Sang Mok Park; Semin Kwon; Haripriya Sakthivel; Sreeram P. Nagappa; Jung Woo Leem; Steven R. Steinhubl; Pascal Ngiruwonsanga; Jean-Louis N. Mangara; Célestin Twizere; Young L. Kim (npj Digit. Medicine, 2025)

Ambulatory atrial fibrillation detection and quantification by wristworn AI device compared to standard holter monitoring. - Mariska van Vliet; Jan J. J. Aalberts; Cora Hamelinck; Arnaud D. Hauer; Dieke Hoftijzer; Stefan H. J. Monnink; Jurjan C. Schipper; Jan C. Constandse; Nicholas S. Peters; Gregory Yoke Hong Lip; Steven R. Steinhubl; Eelko Ronner (npj Digit. Medicine, 2025)