COVID-19 severity can be predicted by a model with 5 variables: respiratory rate, systolic blood pressure, plasma albumin, LDH, and CRP.
In linear regression with functional predictors and scalar responses, it may be advantageous, particularly if the function is thought to contain features at many scales, to restrict the coefficient ...
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