Data Visualization

Objective: To evaluate whether synthetic data derived from a national coronavirus disease 2019 (COVID-19) dataset could be used for …

This panel discusses the use of synthetic data for various real analyses related to the COVID-19 pandemic. Using a synthetic dataset derived from N3C data, panelists have performed studies of data characterization, epidemic measurement, prevalence prediction, and inpatient severity prediction, and compared the data to results drawn from the original dataset. The panel provides a comprehensive review of how synthetic data can be used for analysis. While each of the studies could be considered separately, the combination of studies together creates an opportunity to clearly recognize the status of synthetic data validation, which can better advance the appropriate application of the technology in informatics broadly.

Background: Computationally derived (“synthetic”) data can enable the creation and analysis of clinical, laboratory, and diagnostic …

Course project from CSE 583 Software Development for Data Scientists. This visualization tool uses synthetic Synthea data that mimics an early novel coronavirus (COVID-19) outbreak within the state of Massachusetts.

Background: There is a need for fast, accessible, low-cost, and accurate diagnostic methods for early detection of cognitive decline. …