Hi all, thanks in advance for the help.
I’m struggling to understand exactly how continuous features are generated in FeatureExtraction, specifically for measurement values. The createCovariateSettings function allows for creating covariates for measurements in short, medium, and long term ranges which can be specified, but never mentions how the measurement values are aggregated in these windows if there is more than 1 measurement value in the window. For example, we may set useMeasurementValueShortTerm = TRUE and shortTermStartDays = -14, but if there are multiple measurements in the last 14 days, what happens? Are these values averaged, or maybe the most recent value is taken?
I also do not understand how the continuous measurement values are generated for temporal covariates. For one, there could be the same issue of having multiple measurement in one time window in the past (e.g. between 14 and 7 days ago). Further, when I have tried generating such temporal covariates, I find that I get a lot of covariate values at the farther back point in and very few after this. For example, if I set: useMeasurementValue = TRUE, temporalStartDays = seq(-10, -1, by = 1), temporalEndDays = seq(-9, 0, by = 1), I get also only covariates generated at the 10 day ago timeId.
Please let me know if anything is not clear, and looking forward to hearing back