Progressive observation of Covid-19 vaccination effects on skin-cellular structures by use of Intelligent Laser Speckle Classification (ILSC)
This work addresses the problem of monitoring vaccination effects for medical researchers, but it is incremental as it applies an existing method to new data.
The study tackled the problem of detecting Covid-19 vaccination effects on skin cellular structures using Intelligent Laser Speckle Classification (ILSC) with an optimized Bayesian network, and the result was successful classification of early-vaccinated, late-vaccinated, and non-vaccinated individuals over a month.
We have made a progressive observation of Covid-19 Astra Zeneca Vaccination effect on Skin cellular network and properties by use of well established Intelligent Laser Speckle Classification (ILSC) image based technique and managed to distinguish between three different subjects groups via their laser speckle skin image samplings such as early-vaccinated, late-vaccinated and non-vaccinated individuals. The results have proven that the ILSC technique in association with the optimised Bayesian network is capable of classifying skin changes of vaccinated and non-vaccinated individuals and also of detecting progressive development made on skin cellular properties for a month period.