Artificial Neural Network (ANN) and regression model for predicting the Albumin to Globulin (A/G) ratio in a serum protein electrophoresis test

Abstract

Multiple myeloma affects the several parts of bodies such as the spine, skull, pelvis and ribs. The cause of multiple myeloma is not known properly. The poor prognoses is associated with most cancers creates a sense of urgency for the brains behind healthcare Artificial Intelligence (AI) research. AI is able to detect cancer and other diseases earlier than possible through standard diagnostic methods, which could be lifesaving for future patients. The main objective of the research paper is to predict the Albumin to Globulin (A/G) ratio obtained by the electrophoresis test by developing regression model and Artificial Neural Network (ANN) model. The results obtained showed that the Mean Square Error (MSE) obtained by ANN model is less than the MSE obtained by the regression model.