Table 2 Features extracted from the digital biomarkers (DBs) for the development of ITA algorithm.

From: A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19

Metric

Definition

Equation

Deviation metrics

Delta (Δ)

Deviation in digital biomarker from baseline median value

DBDetection – DBBaseline, Median

Delta_Normalized

Delta normalized by baseline median value

((DBDetection – DBBaseline, Median) / DBBaseline, Median)

Delta_Standardized

Delta standardized by baseline median and interquartile range (IQR)

((DBDetection – DBBaseline, Median) / DBBaseline, IQR)

Z-score

Deviation in digital biomarker from baseline mean, standardized by baseline standard deviation (SD)

((DBDetection – DBBaseline, Mean) / DBBaseline, SD)

Summary statistics (features)

Average

Average of interday deviation metrics

Median

Median of interday deviation metrics

Maximum

Maximum of interday deviation metrics

Minimum

Minimum of interday deviation metrics

Range

Range of interday deviation metrics