Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale. (arXiv:2211.10431v1 [eess.SP])

Pandemic outbreaks such as COVID-19 occur unexpectedly, and need immediate
action due to their potential devastating consequences on global health.
Point-of-care routine assessments such as electrocardiogram (ECG), can be used
to develop prediction models for identifying individuals at risk. However,
there is often too little clinically-annotated medical data, especially in
early phases of a pandemic, to develop accurate prediction models. In such
situations, historical pre-pandemic health records can be utilized to estimate
a preliminary model, which can then be fine-tuned …

arxiv covid covid-19 diagnosis medical medical records mortality pandemic population predictions records scale