Fig. 1
From: Machine learning for precision diagnostics of autoimmunity
Health data integration and machine learning workflow for personalized diagnostics of autoimmune diseases. (A) Clinical, laboratory and omics data were collected, preprocessed and integrated. (B) Data was further transformed and selected features of each data type were extracted, integrated and one-hot encoded. (C) Machine learning methods were applied to analyze and classify autoimmune diseases. The various models were validated and evaluated.
