Author : Noor Fatimah I.H 1
Date of Publication :7th May 2016
Abstract: This paper presents a new method of Tuberculosis (TB) detection; a method made simpler, faster and more accurate. The blood samples of the individuals are subjected to inspection, through photonic crystal sensor to obtain the refractive index values. The sevalues are initialized into MEEP (Massachusetts Institute of Technology Electromagnetic Equation Propagation) software to obtain the flux values. A MATLAB (Matrix Laboratory) code is written employing Naive Bayesian Algorithm for classifying the test samples indicating either the presence or absence of TB. A further step is taken by us to make this user-friendly by displaying the corresponding results on a LCD using Raspberry Pi Model B+, supported by a voice message output too. The results at each stage are recorded and analyzed.
Reference :
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