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Blaha et al.
2024
Validation of digital cardiovascular risk score (DiCAVA) in the United States All of Us dataset
Abstract submitted to ESC Congress 2024
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Moore A, Morelli D.
conDENSE: Conditional Density Estimation for Time Series Anomaly Detection
Journal of Artificial Intelligence Research, Vol 79.
Dolezalova, N. et al.
2023
Feasibility of using intermittent active monitoring of vital signs by smartphone users to predict SARS-CoV-2 PCR positivity
Nature Scientific Reports, 13: 10581
Lim, A. et al.
2022
An Outpatient Management Strategy Using a Coronataxi Digital Early Warning System Reduces Coronavirus Disease 2019 Mortality
Open Forum Infectious Diseases 9, no. 4: ofac063.
Gatzoulis, M. et al.
Patient monitoring and education over a tailored digital application platform for congenital heart disease: A feasibility pilot study
International Journal of Cardiology. Vol 362, Pages 68-72.
Bacciu, D. et al.
Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes
IEEE Transactions on Neural Networks and Learning Systems PP.
Sarraju A, et al.
Pandemic-Proof Recruitment and Engagement in a Fully Decentralized Trial in Atrial Fibrillation Patients (DeTAP)
Npj Digital Medicine 5, no. 1: 1-7.
Valentine, S. et al.
Smartphone Movement Sensors for the Remote Monitoring of Respiratory Rates: Technical Validation
DIGITAL HEALTH 8: 20552076221089090.
Rennie, K. L. et al.
Engagement with mHealth COVID-19 digital biomarker measurements in a longitudinal cohort study: a mixed methods evaluation
JMIR Preprints. 29/06/2022:40602.
Elnakib, S. et al.
A Novel Score for MHealth Apps to Predict and Prevent Mortality: Further Validation and Adaptation to the US Population Using the US National Health and Nutrition Examination Survey Data Set
Journal of Medical Internet Research 24, no. 6: e36787.
Yassaee, A. et al.
2020
Evaluation of an RPM solution for heart failure in Wales
In Preparation
Managing Asthma Patients With AMAZE: A Novel Disease Management Platform, A Clinical Pilot Study
ClinicalTrials.gov
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