Cell‐free RNA and fully convolutional dense network‐based early preeclampsia prediction

See PDF]where N = s; rands () is the Gaussian random function, Max () and Min () are the maximum and minimum value functions, respectively, and M and Q are the numbers to be produced. [...]the vector set of cfRNA contributions (y_train and y_test) can be calculated from x_train, x_test, and clinical diagnosis (prior knowledge). [...]only one clinical diagnosis conclusion was available for any enrolled woman: NP or PE. [...]we define that women in the PE group have the maximum IRS = 1 and NP have minimum IRS = 0. [...]the prediction error for IRS was well-controlled within a small amplitude, and the FCDN model was able to fit the data well.