Computation of PUG concentration in human blood using the combination of photonics and machine learning

The concentration of potassium chloride, urea and glucose (PUG) in human blood is computed by utilizing the photonic crystal structure and machine learning technique to realize an accurate investigation. The present computation manipulates with the triangular photonic crystal structure, where absorption, propagation, scattering, reflection and diffraction losses are thoroughly dissected to obtain the output power emerging from the photonic structure. Further, the output data(power) is fitted to linear ship through regression analysis. Finally, a mathematical model is disclosed to obtain the variation of output power and concentration of potassium chloride, urea, and glucose.