Clinical data analysis with the use of artificial neural networks (ANN) and principal component analysis (PCA) of patients with endometrial carcinoma

It has been concluded that ANN analysis offers a promising alternative to established methods for the statistical analysis of multivariate data in cancer patients. Also, PCA has been recommended as a new and promising alternative to classical regression analysis of multivariate clinical data. By means of PCA, practically useful systematic information may be extracted from large sets of data, which is otherwise hardly interpretable in comprehensive physical terms. Such information can be of value for general prognosis and for making appropriate adjustments in treatment.