Neural network analysis of the correlation between malnutrition-induced stomatitis and vitamin B12 and folic acid

Abstract

Objective A model was built by neural network analysis to study the relationship between different degrees of vitamin B12 and folic acid deficiency and malnutrition-induced stomatitis. Methods Data from 30 healthy volunteers and 30 patients with malnutrition-induced stomatitis were collected. The distribution of lesions, the number of affected sites and clinical manifestations were recorded, and the severity was scored. The levels of vitamin B12 and folic acid in the peripheral blood of the two groups were simultaneously measured. The SPSS software was used to analyze the correlation between vitamin B12 and folic acid levels in the peripheral blood of patients with malnutrition-induced stomatitis and healthy volunteers, and the MATLAB software package was used to analyze the data via a neural network. Results The levels of vitamin B12 and folic acid significantly correlated with the grade of malnutrition-induced stomatitis. Simultaneous B12 and folic acid deficiency linearly correlated with the occurrence and severity of malnutrition-induced stomatitis. Based on this correlation, a thermogram model of malnutrition-induced stomatitis was constructed. Conclusion Malnutrition-induced stomatitis is closely related to vitamin B12 and folic acid deficiency. Their synergistic effect may promote the occurrence and development of malnutrition-induced stomatitis. The construction of the malnutrition-induced stomatitis model aids the targeted etiological treatment of patients with moderate and severe deficiency to prevent malnutrition-induced stomatitis.

Keywords

• stomatitis
• malnutrition
• atrophic glossitis
• recurrent aphthous stomatitis
• vitamin b12
• folic acid
• etiological treatment
• neural network
• model establishment