26/04/2022

Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data

Trained on a large, heterogeneous, real-world dataset, our CovRNN models showed high

prediction accuracy and transferability through consistently good performances on

multiple external datasets. Our results show the feasibility of a COVID-19 predictive

model that delivers high accuracy without the need for complex feature engineering.

Lire l'article complet sur : www.thelancet.com

24/04/2022

Two cases of COVID-19 monitored by a wearable biosensor—a case report – Gielen – mHealth

Two cases of COVID-19 monitored by a wearable biosensor—a case report

Lire l'article complet sur : mhealth.amegroups.com

24/04/2022

Smart Wearable Devices Reveal Physiological Responses to COVID-19 Vaccine | Technology Networks

A new digital health study by researchers at Scripps Research shows how data from wearable sensors, such as smartwatches and fitness bands, can track a person’s physiological response to the COVID-19 vaccination.

Lire l'article complet sur : www.technologynetworks.com

22/04/2022

European Parliament’s special committee on COVID-19 is an opportunity to drive health equity forward

Examining lessons learned and formulating recommendations for the new COVID committee within the EP.

Lire l'article complet sur : epha.org

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