Harnessing AI and Natural Therapeutics: COVID-19 Data Assessment and Curcumin’s Role in Mitigation

Le résumé fourni par la source

The main purpose of this work is to produce early finding /detection report for covid-19 by automated system using artificial intelligence techniques and drug development. This work comprises a proposed method for quantifying the features of textured Covid Images and Curcumin as an analyte for five various concentrations i.e. 0 mM, 10 mM, 20 mM, 30 mM and 40 mM. During data analysis using artificial intelligence and machine learning approaches, HRCT was found to be useful diagnostic tool. For the quantification and features extraction, statistical analytical methods were applied on normal and affected data (grey images) after discussion with expert radiologist. Total number of region of interests selected was 320. The proposed method accuracy for three classes COVID-19 mild cases, COVID-19 severe cases and normal cases were 94.4%, 96.6% and 98.4%. Sensitivity was 94.5%, 96.6% and 98.4% with respect to principal component analysis, linear discriminant analysis and nonlinear discriminant analysis. Clinical findings disclose the higher mortality rate, different severity levels and to identify the stages of virus attack. Curcumin can be used as drug to improve histopathological results.

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