In a retrospective, multicenter Spanish study conducted between January 2010 and December 2019, women under 45 with non-epithelial ovarian cancer were included in the analysis. A comprehensive dataset was assembled, including every treatment approach and disease stage at diagnosis, all of which ...
The data pre-processing is necessary to avoid the problem of slow convergence before the training dataset is fed into the neural network model. The ’Min-Max’ normalization was used to linearly transform the original data and map the original data to the interval [0, 1], which can eliminate...