In current study we used Raman spectroscopy and autofluorescence analysis in visible and NIR region for the analysis of human skin spectral characteristics in the presence of various influencing factors. We performed the comparative research of Raman experimental data and visible autofluorescence analysis results. The processing of experimental data was performed on the bases of regression analysis.We estimated correlations between Raman and autofluorescence signals and also find informative Raman and autofluorescence bands that may be used as predictors of general condition of the body.The use of Raman spectroscopy of humanskin made it possible torevealkidney failurewith a diagnosticaccuracy more than 90%.When constructing theregression for analysing the correlation of Ramanspectral features of skinin the NIR and thearithmetic average ofthe fluorescenceintensity of the visibleregion R2 = 0.69. Acombined skin analysisbased on Raman andfluorescencein thevisible region mayimprove the performedskin analysis.