Steven R. Steinhubl

Orcid: 0000-0002-9256-7914

According to our database1, Steven R. Steinhubl authored at least 20 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Educating the healthcare workforce of the future: lessons learned from the development and implementation of a 'Wearables in Healthcare' course.
npj Digit. Medicine, 2023

Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias.
npj Digit. Medicine, 2023

2022
Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands.
npj Digit. Medicine, 2022

2021
A Comprehensive Explanation Framework for Biomedical Time Series Classification.
IEEE J. Biomed. Health Informatics, 2021

Wearable sensor derived decompensation index for continuous remote monitoring of COVID-19 diagnosed patients.
npj Digit. Medicine, 2021

Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms.
npj Digit. Medicine, 2021

2020
Digitizing clinical trials.
npj Digit. Medicine, 2020

2019
Digital clinical trials: creating a vision for the future.
npj Digit. Medicine, 2019

On the Effectiveness of Deep Representation Learning: The Atrial Fibrillation Case.
Computer, 2019

2018
Home Monitoring of Blood Pressure: Short-Term Changes During Serial Measurements for 56398 Subjects.
IEEE J. Biomed. Health Informatics, 2018

Digital medicine, on its way to being just plain medicine.
npj Digit. Medicine, 2018

The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app.
npj Digit. Medicine, 2018

Analytics Pipeline for Left Ventricle Segmentation and Volume Estimation on Cardiac MRI Using Deep Learning.
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.
Proceedings of the Summit on Clinical Research Informatics, 2016

Characterizing Physicians Practice Phenotype from Unstructured Electronic Health Records.
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.
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?
Proceedings of the AMIA 2015, 2015

2014
PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records.
J. Biomed. Informatics, 2014

Limestone: High-throughput candidate phenotype generation via tensor factorization.
J. Biomed. Informatics, 2014

Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records.
Int. J. Medical Informatics, 2014


  Loading...