Machine learning (ML) models are only as good as the data they are train...
Anomaly detection in time-series has a wide range of practical applicati...
Healthcare providers usually record detailed notes of the clinical care
...
A significant proportion of clinical physiologic monitoring alarms are f...
Estimation of treatment efficacy of real-world clinical interventions
in...
Analysing electrocardiograms (ECGs) is an inexpensive and non-invasive, ...
In this work, we propose GLUE (Graph Deviation Network with Local Uncert...
Most advanced supervised Machine Learning (ML) models rely on vast amoun...
Social robots and interactive computer applications have the potential t...
Monitoring physiological responses to hemodynamic stress can help in
det...