During the COVID-19 pandemic, more than ever, data science has become a powerful
weapon in combating an infectious disease epidemic and arguably any future infectious …

Wearable technology is an emerging method for the early detection of coronavirus disease
2019 (COVID-19) infection. This scoping review explored the types, mechanisms, and …

In the electronic health record, using clinical notes to identify entities such as disorders and
their temporality (eg the order of an event relative to a time index) can inform many important …

The COVID-19 (coronavirus disease 2019) pandemic has had a significant impact on
society, both because of the serious health effects of COVID-19 and because of public …

The fight against COVID-19 is hindered by similarly presenting viral infections that may
confound detection and monitoring. We examined person-generated health data (PGHD) …

The connection between humans and digital technologies has been documented
extensively in the past decades but needs to be evaluated through the current global …

Objective To describe the infrastructure, tools, and services developed at Stanford Medicine
to maintain its data science ecosystem and research patient data repository for clinical and …

There is substantial interest in using presenting symptoms to prioritize testing for COVID-19
and establish symptom-based surveillance. However, little is currently known about the …

The true severity of infection due to COVID-19 is under-represented because it is based on
only those who are tested. Although nucleic acid amplifications tests (NAAT) are the gold …

The increasing accessibility of wearable activity-tracking and health-tracking devices has
prompted much research into passive diagnostics and screening that could contribute to …