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I'm looking for the best technique to estimate the loss of two variables that form an interval based on the interval between the input variables.

For example. If input X = 4 and Y = 8. The loss would be: |(X-Y) - 5|. If input X = 4 and Y = 8. The loss would be: |(X-Y) - 2|. The input variables I am dealing with are multi-dimensional. So, Y and X can be multi-dimensional too.

I hope I'm making sense. I'm just not sure what to do. I have looked into the norm function as well as the normx function. Neither really do what I need.

Any help is appreciated.

Sample Values

Input:

min: 1

max: 3

stdev: 0.25

Maybe try this function:

library(Bifrost)

Norm.diff(X = c(4, 8), Y = c(2, 4))

## [,1]

## [1,] 2.5

## [2,] 2.5

## [3,] 2.5

Cardiac sympathetic nerve function in patients with non-alcoholic fatty liver disease.

Non-alcoholic fatty liver disease (NAFLD) is a risk factor for cardiovascular disease. NAFLD patients with sinus tachycardia may have a decline in cardiac sympathetic nerve function. We aimed to assess cardiac sympathetic nerve function in patients with NAFLD. Patients without cardiac disease (n = 55) and those with NAFLD and sinus tachycardia (n = 36) were enrolled. Cardiac sympathetic nerve function was assessed by cardiac washout technique, and the washout rate of (123)I-MIBG was calculated. The non-alcoholic fatty liver disease group showed higher (123)I-MIBG washout rate than the control group (1.69 ± 0.26% vs. 1.56 ± 0.29%, P = 0.0011). There was a positive correlation between washout rate and sinus tachycardia (r = 0.356, P < 0.01). The improvement of washout 0b46394aab

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