Natural Language Processing in Biomedical Literature for Analysing the Effects of Neurodynamic in Pain and Disability in Carpal Tunnel Syndrome

Abstract

Carpal tunnel syndrome (CTS) a most common peripheral neuropathy characterised by numbness, tingling in the sensory distribution area of the of the median nerve, particularly in the thumb , index finger ,middle finger and radial side of ring finger along with motor weakness, distal to wrist that results into decreased hand grip strength and hand function disability. CTS puts an economy burden on healthcare services as its incidence and prevalence are increasing day by day although a slight decline in numbers has been seen over a period time. Fuzzy logic retains expert information in an intelligent system that may be effectively utilized by others, simulating the cognitive decision-making abilities of the specialist, and helping junior doctors with less expertise make better diagnoses. Therefore, the use of such an expert system is advised to speed up and enhance the accuracy of the diagnosis in patients with suspected CTS by studying different literatures. To device, evidence based therapeutic protocol from biomedical literature for the treatment of pain and disability in CTS. To analyse the effect of openers, sliders, and tensioners on NPRS and disability in carpal tunnel syndrome, using biomedical literature. Therefore, we draw the very encouraging conclusion that further research on the application of such a fuzzy expert system for medical opinion prediction and diagnosis is warranted.