312 results on '"Steinhubl, Steven"'
Search Results
2. Remote digital health technologies for improving the care of people with respiratory disorders
3. Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias
4. Where Mobile Health Technologies Are Needed in Healthcare
5. Educating the healthcare workforce of the future: lessons learned from the development and implementation of a ‘Wearables in Healthcare’ course
6. Cost-Effectiveness of AF Screening With 2-Week Patch Monitors: The mSToPS Study
7. 11. Medicine Unplugged: Can M-Health Transform Healthcare?
8. Does early detection of atrial fibrillation reduce the risk of thromboembolic events? Rationale and design of the Heartline study
9. Consumer-Led Screening for Atrial Fibrillation: Frontier Review of the AF-SCREEN International Collaboration
10. Sensor-based surveillance for digitising real-time COVID-19 tracking in the USA (DETECT): a multivariable, population-based, modelling study
11. The digital phenotype of vaccination
12. The All of Us Research Program: Data quality, utility, and diversity
13. rECHOmmend: An ECG-Based Machine Learning Approach for Identifying Patients at Increased Risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography
14. Session 2: AI in automated ECG analysisAI-based predictive and diagnostic electrocardiography
15. Detection and Monitoring of Viral Infections via Wearable Devices and Biometric Data
16. Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands
17. Monitoring and Reversal of Anticoagulation and Antiplatelet Agents
18. Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms
19. Sleep Outcomes From AWAKE-HF: A Randomized Clinical Trial of Sacubitril/Valsartan vs Enalapril in Patients With Heart Failure and Reduced Ejection Fraction
20. Abstract 9756: An ECG-Based Machine Learning Model for Predicting New Onset Atrial Fibrillation is Superior to Age and Clinical Variables in Selecting a Population at High Stroke Risk
21. Abstract 9536: Prediction of Drug-Induced QTc Prolongation With an ECG Based Machine Learning Model
22. Abstract 9599: Rechommend: An Ecg-Based Machine-Learning Approach for Identifying Patients at High-Risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography
23. Wearable sensor derived decompensation index for continuous remote monitoring of COVID-19 diagnosed patients
24. rECHOmmend: an ECG-based machine-learning approach for identifying patients at high-risk of undiagnosed structural heart disease detectable by echocardiography
25. Three year clinical outcomes in a nationwide, observational, siteless clinical trial of atrial fibrillation screening—mHealth Screening to Prevent Strokes (mSToPS)
26. Passive Detection of COVID-19 with Wearable Sensors and Explainable Machine Learning Algorithms
27. Assessment of Prolonged Physiological and Behavioral Changes Associated With COVID-19 Infection
28. A Comprehensive Explanation Framework for Biomedical Time Series Classification
29. The hopes and hazards of using personal health technologies in the diagnosis and prognosis of infections
30. The Physiologic Response to COVID-19 Vaccination
31. Mobile Health-Collected Biophysical Markers in Children with Serious Illness-Related Pain
32. Present and Future of Digital Health in Diabetes and Metabolic Disease
33. Association of Sleep Duration and Variability With Body Mass Index
34. Healthcare resource utilization following ECG sensor patch screening for atrial fibrillation
35. Contributors
36. Antiplatelet Therapy
37. Non–ST-Elevation Myocardial Infarction
38. Contributors
39. Monitoring of Antithrombotic Therapies in Interventional Cardiology
40. The Combination of Anticoagulants and Platelet Inhibitors Postcoronary Stent Implantation
41. Thromboxane Antagonists
42. Abstract 17189: Explaining the Deep Learning Black Box by Identifying Segments of the Single-Lead ECG Signal Used for Detection of Atrial Fibrillation
43. Wearable sensor data and self-reported symptoms for COVID-19 detection
44. Screening for atrial fibrillation: predicted sensitivity of short, intermittent electrocardiogram recordings in an asymptomatic at-risk population
45. Chronic kidney disease and undiagnosed atrial fibrillation in individuals with diabetes
46. Passive Monitoring of Physiological Data and Self-reported Symptoms to Detect Clusters of People with COVID-19
47. Pregnancy health in POWERMOM participants living in rural versus urban zip codes
48. Inter- and intraindividual variability in daily resting heart rate and its associations with age, sex, sleep, BMI, and time of year: Retrospective, longitudinal cohort study of 92,457 adults
49. Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study
50. Ethical Considerations When Creating Evidence from Real World Digital Health Data
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