A classification model for non-alcoholic steatohepatitis (NASH) using confocal Raman micro-spectroscopy

We combined Raman micro-spectroscopy and machine learning techniques to develop a classification model based on a well-established non-alcoholic steatohepatitis (NASH) mouse model, using spectrum pre-processing, biochemical component analysis (BCA) and logistic regression.